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python knn data

Open Posted By: surajrudrajnv33 Date: 18/10/2020 Graduate Rewriting & Paraphrasing

i need write the code for preprocessing part and its just one line that i need 

Category: Arts & Education Subjects: English literature Deadline: 12 Hours Budget: $120 - $180 Pages: 2-3 Pages (Short Assignment)

Attachment 1

Description

Courtesy - Statistics.com
Background:
A relatively young bank is growing rapidly in terms of overall customer acquisition.
Majority of these are Liability customers with varying sizes of relationship with the bank.
The customer base of Asset customers is quite small, and the bank WANTS to grow
this base rapidly to bring in more loan business.
Specifically, it wants to explore ways of converting its liability customers to
Personal Loan customers.
A campaign the bank ran for liability customers last year showed a healthy conversion
rate of over 9% successes. This has encouraged the Retail Marketing department
to devise smarter campaigns with better target marketing.
Analytics Objectives:
1 While designing a new campaign, can we model the previous campaign's customer behavior to
analyze what combination of parameters make a customer more likely to
accept a personal loan?
2 There are several special products / facilities the bank offers like CD and security accounts,
online services, credit cards, etc. Can we spot any association among these
for finding cross-selling opportunities?
Data Description:
ID Customer ID
Age Customer's age in completed years
Experience #years of professional experience
Income Annual income of the customer ($000)
ZIPCode Home Address ZIP code.
Family Family size of the customer
CCAvg Avg. spending on credit cards per month ($000)
Education Education Level. 1: Undergrad; 2: Graduate; 3: Advanced/Professional
Mortgage Value of house mortgage if any. ($000)
Personal Loan Did this customer accept the personal loan offered in the last campaign?
Securities Account Does the customer have a securities account with the bank?
CD Account Does the customer have a certificate of deposit (CD) account with the bank?
Online Does the customer use internet banking facilities?
CreditCard Does the customer use a credit card issued by UniversalBank?
Note: Data are hypothetical
© Cytel, Inc. 2005

Data

ID Age
ajay: Age in Years
Experience
ajay: Experience in Years
Income
ajay: Annual Income ($000)
ZIP Code Family
ajay: Dependent Family Size
CCAvg
ajay: Avg. Spending on Credit Cards per month ($000)
Education
ajay: Education level: 1- undergrad 2- Graduate 3- Advanced
Mortgage
ajay: Mortgage value if the bank holds a mortgage on the house. ($000)
Personal Loan
ajay: Did s/he accept the offer for a Personal Loan?
Securities Account
ajay: Does the customer have a Securities Account?
CD Account
ajay: Does the customer have a CD (Certificate of Deposit) account?
Online
ajay: Is the customer an active user of online banking services?
CreditCard
ajay: Does the customer hold a Credit Card issued by this bank?
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1358 55 29 53 95134 1 1.40 1 0 0 0 0 0 0
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1371 30 5 20 94545 4 0.50 3 117 0 0 0 0 0
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1593 56 31 192 90089 1 7.00 3 0 1 0 1 1 0
1594 63 38 83 91320 3 1.80 2 0 0 0 0 1 0
1595 37 12 93 90025 1 2.80 1 0 0 1 0 1 0
1596 56 26 38 94305 3 1.00 3 110 0 1 0 1 0
1597 45 20 55 92606 4 1.90 3 164 0 1 0 0 0
1598 66 41 11 92325 3 0.10 3 0 0 1 0 0 1
1599 40 15 85 94550 2 0.40 1 0 0 1 0 0 0
1600 50 24 124 93305 1 4.90 1 266 0 0 0 1 0
1601 60 36 129 92028 2 6.00 1 0 0 0 0 1 0
1602 31 7 180 93407 1 4.30 1 0 0 0 0 0 0
1603 40 14 74 90245 4 1.40 2 0 0 0 0 1 0
1604 36 6 138 92152 1 7.00 3 86 1 0 0 1 0
1605 55 29 111 90502 2 3.60 3 0 1 0 0 0 1
1606 54 28 83 93555 3 0.80 1 0 0 0 0 1 0
1607 35 10 33 90266 4 1.70 1 87 0 0 0 1 0
1608 55 29 21 92028 4 0.70 3 0 0 0 0 0 0
1609 36 10 35 94608 2 0.30 1 98 0 0 0 1 0
1610 66 41 105 93023 1 0.80 3 0 0 1 1 1 1
1611 38 14 103 94305 1 0.80 2 0 0 0 0 0 1
1612 58 32 75 92096 2 2.30 3 0 0 0 0 0 0
1613 41 17 33 94550 1 0.70 1 104 0 0 0 0 0
1614 60 34 52 94305 4 1.70 2 0 0 1 0 1 0
1615 47 23 89 94920 1 2.60 2 0 0 1 1 1 1
1616 62 36 63 93109 1 2.50 3 0 0 0 0 0 0
1617 48 23 84 94402 4 3.10 2 0 1 1 1 1 0
1618 61 36 44 91302 4 2.10 1 0 0 0 0 0 0
1619 29 3 29 94720 3 1.00 1 0 0 0 0 1 1
1620 45 21 29 90005 1 0.30 3 0 0 0 0 1 0
1621 39 14 22 94035 2 0.30 2 0 0 0 0 1 0
1622 31 6 53 92093 4 2.20 1 114 0 0 0 1 0
1623 39 14 24 94611 2 0.30 2 0 0 0 0 1 0
1624 63 38 153 90045 1 1.30 1 455 0 0 0 0 0
1625 28 2 31 90024 2 0.30 2 0 0 1 0 1 0
1626 56 30 21 94542 2 0.70 2 0 0 0 0 1 0
1627 31 6 180 93108 2 6.70 1 0 0 0 0 0 0
1628 46 20 82 91016 3 0.70 2 0 0 0 0 1 1
1629 42 18 90 95064 4 0.80 1 245 0 1 0 0 0
1630 53 29 154 93407 4 7.40 3 0 1 0 0 0 0
1631 41 17 99 92096 2 1.80 2 0 0 0 0 1 1
1632 61 36 153 91105 1 2.60 2 0 1 1 1 0 1
1633 31 5 93 95032 2 3.10 2 0 1 0 0 1 0
1634 62 38 53 92121 1 0.00 2 0 0 0 0 0 0
1635 59 34 18 95814 3 1.30 2 104 0 0 1 1 1
1636 49 24 70 91330 1 2.90 1 0 0 0 0 0 0
1637 65 39 100 92122 4 1.70 3 0 0 0 0 0 1
1638 30 6 193 94022 3 6.30 3 0 1 0 0 1 0
1639 32 7 125 95133 1 0.00 1 0 0 0 0 1 1
1640 56 31 68 94571 2 0.00 3 0 0 1 0 1 0
1641 36 10 55 90009 1 2.00 1 95 0 0 0 1 0
1642 58 34 152 92182 4 3.60 3 0 1 0 0 0 0
1643 27 3 84 95814 3 1.50 1 0 0 0 0 1 1
1644 41 16 13 91125 2 0.00 3 0 0 0 0 1 0
1645 59 35 33 91355 4 0.40 1 131 0 0 0 0 1
1646 56 32 89 92096 4 1.00 2 90 0 1 0 1 0
1647 52 26 93 91745 1 2.40 1 0 0 0 0 1 0
1648 35 5 68 90509 4 1.80 3 0 0 0 0 0 0
1649 47 21 85 93106 2 1.70 2 0 0 0 0 0 1
1650 29 4 73 95039 1 0.80 2 0 0 0 0 1 0
1651 31 6 83 92131 4 2.20 2 106 0 0 0 1 0
1652 62 36 158 94301 2 6.30 3 0 1 0 0 1 0
1653 48 18 182 92626 4 6.00 3 0 1 0 0 1 0
1654 26 1 24 96651 2 0.90 3 123 0 0 0 0 1
1655 60 34 102 94305 2 2.00 1 0 0 0 0 1 1
1656 35 11 53 91355 3 2.80 1 0 0 0 0 0 0
1657 40 15 175 92646 2 3.30 1 0 0 0 0 1 0
1658 31 5 28 94538 3 1.00 1 0 0 0 0 1 0
1659 50 25 14 92037 4 0.80 1 0 0 0 0 1 0
1660 33 7 139 95828 1 4.00 3 106 1 0 1 1 1
1661 37 11 34 95747 3 0.90 1 0 0 0 0 1 0
1662 38 14 64 92093 1 1.50 3 0 0 0 0 0 1
1663 63 38 84 94607 4 0.10 2 0 0 0 0 0 0
1664 57 32 42 95070 3 0.50 2 0 0 1 0 1 0
1665 61 35 63 91605 1 1.60 1 0 0 0 0 1 0
1666 37 12 100 92735 3 1.20 3 341 0 0 0 1 1
1667 51 25 190 95138 2 4.20 2 0 1 0 0 1 0
1668 44 20 22 90024 1 1.00 1 91 0 0 0 0 0
1669 63 37 20 90066 1 0.80 2 0 0 1 0 0 1
1670 43 18 21 95037 2 1.40 2 0 0 0 0 1 1
1671 38 14 25 95135 4 0.40 2 101 0 0 0 1 0
1672 34 9 20 92648 4 1.10 3 0 0 0 0 1 0
1673 48 23 173 94546 3 0.20 1 0 1 0 1 1 1
1674 29 5 81 94115 2 2.50 1 0 0 0 0 0 1
1675 37 11 139 95814 2 0.80 2 421 1 0 0 1 0
1676 60 35 119 90266 2 3.90 1 0 0 1 0 1 0
1677 46 20 74 92821 4 2.60 3 104 0 0 0 1 0
1678 34 10 42 92173 1 1.50 2 131 0 0 0 0 0
1679 56 30 73 94035 2 1.10 1 0 0 0 0 0 0
1680 57 31 114 94590 4 5.20 1 0 1 1 1 1 0
1681 62 36 44 92093 2 1.00 3 0 0 0 0 0 0
1682 32 8 141 90005 2 4.33 1 0 0 0 0 0 0
1683 51 26 14 92182 2 0.00 1 103 0 0 0 1 0
1684 55 29 33 92660 2 0.40 3 0 0 0 0 0 0
1685 60 34 83 94028 2 2.00 1 249 0 0 0 0 0
1686 40 16 89 90011 4 0.80 1 155 0 0 0 1 0
1687 62 38 39 96003 4 2.20 1 0 0 1 0 1 0
1688 63 39 83 90025 3 2.00 3 0 0 0 0 1 1
1689 60 34 108 92152 2 2.00 1 359 0 0 0 1 0
1690 59 34 21 92028 3 1.30 2 0 0 0 0 1 1
1691 26 1 102 95521 1 1.90 1 0 0 0 0 0 0
1692 56 32 48 94117 1 1.60 3 0 0 0 0 0 1
1693 58 32 32 93014 3 1.40 1 0 0 0 0 1 0
1694 57 31 43 95616 1 0.20 1 0 0 0 0 0 0
1695 48 23 35 94025 4 0.40 2 118 0 0 0 0 0
1696 30 6 184 91911 1 6.00 1 0 0 0 0 1 0
1697 45 21 140 91024 2 7.60 1 132 0 0 0 0 0
1698 64 38 32 90065 3 0.70 2 0 0 0 0 1 1
1699 44 20 149 92121 1 1.70 1 0 0 0 0 1 0
1700 51 25 15 94720 4 0.60 3 0 0 0 0 0 1
1701 43 16 71 90089 3 2.33 2 0 0 0 0 0 0
1702 29 3 108 94304 4 1.80 2 0 0 0 0 0 0
1703 56 30 122 93555 2 0.50 1 0 0 0 0 0 1
1704 65 41 40 94542 3 0.10 3 0 0 0 0 1 0
1705 46 22 198 95521 2 6.67 1 0 0 0 0 0 1
1706 48 24 79 90245 4 1.40 2 0 0 1 0 0 1
1707 56 31 84 92672 1 0.10 3 0 0 0 0 1 0
1708 61 37 31 92374 3 0.40 2 0 0 0 0 0 1
1709 46 20 12 90250 4 0.60 3 0 0 0 0 0 1
1710 58 34 88 93555 2 1.60 1 0 0 0 0 1 1
1711 31 5 29 95405 2 0.30 2 131 0 0 0 1 1
1712 27 3 201 95819 1 6.33 1 158 0 0 0 1 0
1713 44 20 20 92780 1 1.40 3 0 0 0 0 0 0
1714 44 20 15 90405 1 1.00 1 0 0 0 0 1 0
1715 51 27 155 94720 2 0.40 1 107 0 0 0 0 1
1716 39 13 25 95370 3 0.20 2 0 0 0 0 1 0
1717 32 8 200 91330 2 6.50 1 565 0 0 0 1 0
1718 33 7 101 93727 1 2.70 2 233 0 0 0 0 0
1719 40 16 19 92028 4 0.40 2 0 0 0 0 1 1
1720 36 12 188 91304 2 6.50 1 0 0 0 0 1 1
1721 52 28 8 95060 1 0.30 1 0 0 0 0 1 0
1722 54 29 59 92867 2 2.30 3 152 0 0 0 1 0
1723 26 2 72 92647 4 2.60 1 0 0 1 1 1 0
1724 39 15 55 95821 1 1.50 3 0 0 0 0 1 0
1725 46 19 24 90025 3 0.67 2 0 0 0 0 1 0
1726 57 32 19 95348 1 1.30 1 0 0 0 0 1 0
1727 59 33 71 91335 2 2.30 3 150 0 0 0 1 1
1728 52 26 54 90049 2 1.50 2 0 0 0 0 0 1
1729 52 26 28 95405 1 0.30 3 0 0 0 0 1 0
1730 50 20 25 91320 4 0.40 3 0 0 0 0 1 0
1731 41 17 51 94402 2 0.60 3 0 0 0 0 0 1
1732 43 19 125 92122 3 2.40 1 0 1 0 0 1 0
1733 25 0 88 94566 2 1.80 2 319 0 0 0 1 1
1734 40 16 125 95125 2 2.20 1 0 0 0 0 1 0
1735 35 10 79 94720 4 2.10 3 182 0 0 0 1 0
1736 60 36 31 95051 3 0.40 2 0 0 0 0 1 1
1737 57 31 131 95133 2 2.70 1 394 0 0 0 0 1
1738 44 19 70 92399 1 0.20 2 230 0 1 0 0 0
1739 61 36 38 91129 3 0.90 3 82 0 0 0 1 1
1740 33 7 83 95211 1 2.50 1 0 0 1 1 1 1
1741 45 20 59 95008 1 2.40 1 0 0 1 1 1 0
1742 45 21 121 94066 1 4.70 1 0 0 0 0 0 0
1743 64 38 42 95929 2 0.70 3 137 0 0 0 1 0
1744 50 24 32 94701 4 1.80 1 109 0 0 0 1 0
1745 28 3 29 91105 4 0.80 1 135 0 0 0 1 0
1746 37 12 40 90065 2 1.10 2 0 0 1 0 0 1
1747 62 36 25 90740 3 0.30 3 0 0 0 0 1 1
1748 29 5 21 90717 4 0.40 2 89 0 0 0 0 1
1749 49 23 79 95819 3 0.70 2 151 0 0 0 1 0
1750 46 22 52 95814 2 2.10 3 221 0 0 0 0 0
1751 60 34 61 95521 4 1.70 2 229 0 0 0 0 0
1752 55 31 25 94720 2 0.20 1 0 0 0 0 0 0
1753 33 8 155 92717 1 7.40 3 0 1 0 0 0 0
1754 53 29 25 92008 2 0.40 1 0 0 0 0 1 0
1755 50 24 80 95616 4 4.90 1 0 0 0 0 1 0
1756 28 3 55 92647 4 1.70 2 0 0 0 0 1 1
1757 42 17 23 95053 2 0.00 3 0 0 0 0 0 0
1758 33 9 60 90630 1 1.20 1 0 0 0 0 1 1
1759 40 14 54 96003 2 0.70 1 0 0 0 0 0 0
1760 31 6 44 94720 4 0.80 1 0 0 0 0 0 0
1761 41 16 33 94309 4 0.00 2 0 0 0 0 1 0
1762 52 27 45 94720 2 2.00 2 121 0 0 0 0 1
1763 65 35 55 94526 4 1.67 3 89 0 0 0 1 1
1764 48 24 134 94105 1 5.00 1 0 0 0 0 0 1
1765 45 21 44 94596 3 0.60 2 0 0 0 0 1 0
1766 26 0 149 95051 2 7.20 1 154 0 0 0 0 0
1767 64 38 22 92697 2 0.20 3 0 0 1 0 0 0
1768 41 14 74 92691 3 2.33 2 0 0 0 0 1 0
1769 43 18 128 92093 4 5.30 1 84 1 0 0 0 0
1770 60 36 62 94061 4 2.20 1 0 0 0 0 0 0
1771 62 37 9 91320 1 0.10 1 94 0 0 0 0 0
1772 46 21 9 95023 2 0.70 3 0 0 0 0 1 0
1773 36 11 15 94720 2 0.30 2 119 0 0 0 0 0
1774 31 5 28 92037 4 0.80 1 0 0 0 0 0 0
1775 43 18 83 93109 3 0.50 3 0 0 0 0 0 1
1776 46 22 73 91360 1 0.80 3 117 0 0 0 0 0
1777 50 26 42 94080 4 1.10 2 151 0 0 0 1 0
1778 52 27 34 93117 2 0.70 2 114 0 0 0 1 1
1779 27 3 32 94710 3 1.00 2 0 0 0 0 0 0
1780 34 9 68 94720 1 2.80 1 0 0 0 0 1 0
1781 49 24 82 95051 1 2.90 1 267 0 0 0 1 0
1782 52 26 19 90650 2 0.70 2 0 0 0 0 0 1
1783 37 11 60 95825 2 2.80 1 181 0 0 0 0 1
1784 53 27 192 94720 1 1.70 1 601 0 0 0 1 0
1785 54 29 119 91355 3 2.00 1 0 1 1 1 0 0
1786 29 3 190 94080 2 4.50 1 0 0 0 0 1 0
1787 35 11 34 93117 1 1.50 2 0 0 0 0 0 0
1788 32 6 44 94608 4 0.20 1 0 0 1 1 1 1
1789 38 13 23 91116 4 0.20 3 0 0 0 0 1 0
1790 44 20 171 91330 4 0.70 1 567 1 0 1 1 1
1791 44 20 43 92124 1 0.30 3 0 0 1 0 0 1
1792 48 22 139 94309 1 0.00 1 0 0 0 1 1 1
1793 46 20 118 93009 1 5.70 1 0 0 0 1 1 1
1794 35 9 113 94596 3 0.80 3 0 1 0 0 1 0
1795 56 32 98 91355 3 3.90 3 0 1 0 0 0 0
1796 49 24 70 90024 1 2.90 1 0 0 0 0 0 1
1797 57 32 42 92831 2 2.10 3 0 0 0 0 1 0
1798 35 10 143 91365 1 8.60 1 0 0 0 0 1 1
1799 44 20 185 94086 3 2.70 1 0 1 0 0 1 0
1800 38 14 28 95821 4 0.40 2 100 0 0 0 1 0
1801 57 33 45 94080 3 1.50 1 181 0 1 1 1 1
1802 35 10 78 92121 1 2.60 2 0 0 0 0 0 0
1803 29 3 121 92806 2 1.30 1 0 0 0 0 0 0
1804 58 32 59 94542 1 1.60 1 0 0 0 0 1 0
1805 40 16 64 92661 4 2.67 1 0 0 1 0 1 0
1806 51 26 15 92373 2 0.00 1 114 0 0 0 1 0
1807 61 36 10 90740 1 0.10 1 0 0 0 0 0 0
1808 46 20 61 90036 2 0.40 3 0 0 0 0 0 0
1809 55 31 50 93010 4 1.50 1 0 0 0 0 1 0
1810 35 10 79 95045 4 2.10 3 0 0 1 0 1 0
1811 60 34 35 90025 1 0.20 1 0 0 0 0 1 0
1812 28 3 11 94534 4 0.50 3 0 0 0 0 0 0
1813 43 19 128 95054 1 4.70 1 0 0 0 0 1 0
1814 61 36 55 90033 3 0.90 3 0 0 0 0 1 1
1815 48 22 79 95747 3 0.70 2 0 0 0 0 1 0
1816 65 39 18 94923 2 0.40 1 0 0 1 1 1 1
1817 45 19 91 92373 2 1.70 2 0 0 1 0 1 0
1818 36 11 9 94604 4 0.20 3 0 0 0 0 0 1
1819 45 20 62 95818 2 2.20 3 0 0 0 0 1 0
1820 60 34 59 94110 1 1.60 1 231 0 0 0 1 0
1821 47 22 25 90404 1 0.10 1 148 0 0 0 1 0
1822 32 7 54 96008 4 1.30 1 0 0 1 0 1 0
1823 48 23 112 93014 1 5.10 2 86 1 1 1 1 0
1824 33 8 125 91320 1 0.00 1 0 0 0 0 1 1
1825 49 23 194 94022 4 8.30 2 0 1 0 0 0 1
1826 56 32 161 94720 1 5.80 3 0 1 1 0 0 0
1827 59 33 35 91105 1 0.20 1 171 0 0 0 0 0
1828 56 30 113 92704 2 2.70 1 352 0 0 0 0 1
1829 30 4 25 92123 2 0.30 2 0 0 0 0 0 0
1830 59 29 45 95630 3 2.00 3 0 0 0 0 1 0
1831 38 13 119 94571 2 7.80 1 221 0 0 0 0 0
1832 47 22 30 94118 4 0.40 2 115 0 0 0 1 1
1833 54 29 79 91330 4 3.80 2 0 0 1 0 1 0
1834 34 9 178 94303 1 0.80 3 0 1 0 0 0 0
1835 41 16 23 94143 2 0.30 2 118 0 0 0 0 0
1836 47 23 171 94546 2 1.40 1 284 0 0 0 1 1
1837 44 19 74 90041 4 1.90 3 0 0 0 0 0 0
1838 43 18 103 90089 3 1.00 1 180 0 0 0 1 1
1839 31 7 99 94720 1 4.00 1 0 0 0 0 1 0
1840 28 2 43 95616 4 1.30 3 0 0 0 0 1 1
1841 55 25 23 93106 4 0.40 3 88 0 0 0 0 0
1842 42 17 91 94583 1 0.10 2 199 0 0 0 1 1
1843 53 29 93 95051 1 2.70 2 256 0 0 0 1 0
1844 30 6 154 90230 1 6.00 1 0 0 0 0 0 0
1845 65 40 21 92717 3 0.10 3 0 0 0 0 0 1
1846 43 18 65 93065 2 2.20 3 0 0 0 0 1 0
1847 56 32 15 90089 1 0.10 2 0 0 0 0 1 0
1848 25 0 52 95126 3 2.60 3 159 0 0 0 0 0
1849 35 10 30 95032 3 1.30 1 0 0 1 1 1 1
1850 50 26 42 90630 1 1.60 2 0 0 0 0 1 0
1851 36 10 20 90033 4 0.30 1 97 0 0 0 1 0
1852 34 8 60 94015 4 2.20 2 0 0 0 0 0 1
1853 32 6 54 94596 4 1.80 3 167 0 0 0 0 0
1854 51 25 60 90401 4 2.60 1 97 0 0 0 1 0
1855 52 25 41 95403 3 1.00 2 0 0 0 0 1 0
1856 65 39 30 94304 3 0.70 2 0 0 0 0 1 1
1857 51 24 21 95014 2 1.00 2 0 0 0 0 1 0
1858 37 13 105 94066 1 0.80 2 0 0 0 0 0 1
1859 35 11 65 90747 3 2.80 1 240 0 0 0 1 0
1860 67 41 20 91741 2 0.40 1 80 0 0 0 0 0
1861 30 6 179 91103 3 4.90 1 142 1 0 0 1 0
1862 62 38 161 90274 1 2.90 1 0 0 1 1 1 1
1863 42 17 82 95616 1 3.70 3 0 0 0 0 1 0
1864 48 22 43 94588 1 1.20 2 112 0 0 0 1 0
1865 61 36 61 92103 2 2.80 1 0 0 0 0 0 0
1866 36 6 90 91342 4 1.80 3 0 0 1 0 0 0
1867 48 24 90 94523 1 2.60 2 334 0 0 0 1 0
1868 65 39 21 94553 2 0.40 1 0 0 0 0 0 0
1869 25 1 118 92833 1 5.40 1 0 0 0 0 1 1
1870 55 30 44 94025 2 2.00 2 0 0 0 0 1 0
1871 63 37 110 95032 1 4.10 3 0 1 0 0 0 0
1872 31 5 99 94065 4 1.80 2 268 0 0 0 0 0
1873 43 17 98 94402 3 1.10 1 0 0 0 0 0 0
1874 28 4 69 94538 3 0.70 2 80 0 0 0 1 0
1875 37 11 82 95819 3 0.90 2 218 0 0 0 1 1
1876 27 3 112 90066 3 2.50 1 389 0 1 0 1 0
1877 62 38 123 90210 1 2.90 1 0 0 0 0 0 0
1878 51 24 78 90037 1 2.67 2 0 0 0 0 1 0
1879 56 30 59 95833 3 0.80 1 159 0 1 0 1 0
1880 56 30 78 90401 3 1.70 2 0 0 0 0 0 0
1881 44 19 49 94720 4 1.90 3 89 0 0 0 1 0
1882 46 19 82 91365 3 2.67 2 0 0 0 0 0 0
1883 56 32 125 91330 3 0.60 1 342 1 0 1 1 1
1884 56 30 185 91711 1 2.90 1 0 0 0 0 0 0
1885 57 33 163 94132 1 7.40 1 0 0 0 0 1 0
1886 31 6 19 96001 4 1.10 3 104 0 0 1 1 1
1887 65 41 115 94105 4 1.70 2 0 0 0 0 0 0
1888 31 7 81 95006 2 2.00 2 0 0 0 1 1 1
1889 36 10 93 94305 1 2.80 3 0 0 0 0 1 0
1890 56 30 111 93106 4 0.30 1 372 1 1 1 1 0
1891 52 27 184 90630 1 8.10 1 0 0 0 0 0 0
1892 42 18 50 95126 4 2.20 2 0 0 0 0 0 0
1893 55 30 55 94110 3 1.70 1 0 0 0 0 0 1
1894 49 24 13 94608 1 0.40 3 101 0 1 0 0 0
1895 51 25 29 94303 4 0.10 1 0 0 0 0 1 1
1896 26 2 72 95003 4 2.60 1 0 0 0 0 1 0
1897 32 7 83 94304 1 2.60 2 0 0 1 0 0 1
1898 54 29 98 93065 1 0.10 3 0 0 0 0 0 0
1899 50 24 43 95630 4 0.10 1 0 0 0 0 1 0
1900 59 33 34 94115 1 0.20 1 0 0 0 0 1 0
1901 61 36 10 91365 4 0.40 2 0 0 0 0 1 0
1902 43 19 201 94305 2 6.67 1 0 0 1 0 1 0
1903 39 14 85 94005 3 1.20 3 107 0 0 0 1 1
1904 56 26 50 90095 3 1.40 3 0 0 0 0 0 0
1905 38 14 91 95060 2 0.00 1 0 0 0 0 1 0
1906 25 -1 112 92507 2 2.00 1 241 0 0 0 1 0
1907 42 17 98 92866 2 0.40 1 275 0 0 0 1 0
1908 42 18 115 93711 1 0.30 1 0 0 0 0 0 0
1909 50 26 22 92037 4 0.50 2 112 0 0 0 1 0
1910 56 30 101 90048 3 1.70 2 0 0 0 0 0 1
1911 43 18 83 95616 2 3.80 3 112 0 0 0 0 0
1912 60 35 52 94709 3 0.50 2 0 0 0 0 0 0
1913 42 16 191 94304 3 4.80 2 0 1 1 1 1 0
1914 57 33 134 92110 4 0.90 1 198 1 0 0 1 0
1915 48 24 54 95616 1 1.60 2 186 0 0 0 1 0
1916 37 11 69 91911 3 2.10 1 0 0 1 0 0 0
1917 57 32 64 95138 3 1.60 3 0 0 0 0 1 0
1918 62 32 53 96001 4 1.67 3 142 0 0 0 0 0
1919 39 9 118 93555 2 6.00 3 246 1 0 1 1 1
1920 38 13 19 92069 2 1.40 2 120 0 0 0 0 1
1921 54 28 31 92130 2 0.40 3 0 0 0 0 0 0
1922 45 21 63 95621 1 0.80 3 245 0 0 0 1 1
1923 39 15 25 93023 1 1.40 3 0 0 0 0 0 0
1924 45 19 22 90639 1 0.20 1 0 0 0 0 1 0
1925 62 38 78 92009 1 1.80 3 0 0 0 0 0 0
1926 43 19 81 90245 1 0.30 1 218 0 0 0 1 0
1927 30 6 41 90095 1 2.40 2 0 0 0 0 1 0
1928 35 10 62 93106 3 2.30 1 0 0 0 0 0 0
1929 58 34 35 94122 1 1.20 3 0 0 0 0 1 0
1930 44 19 30 94501 1 0.60 3 0 0 0 0 1 0
1931 56 29 51 94080 3 1.00 2 0 0 0 0 1 0
1932 28 2 140 92122 2 2.00 1 0 0 0 0 1 0
1933 64 39 73 90073 3 2.40 1 185 0 0 0 0 0
1934 63 39 40 91311 4 1.20 2 0 0 0 0 1 0
1935 44 20 69 95814 1 0.80 3 0 0 0 0 1 1
1936 34 9 191 94086 1 4.80 3 0 1 0 1 1 1
1937 50 24 82 90291 3 3.00 2 0 0 0 0 1 0
1938 51 25 181 95051 1 3.30 3 589 1 1 1 1 0
1939 30 4 38 90245 1 1.90 3 0 0 0 0 1 0
1940 55 31 23 94122 2 0.20 1 0 0 0 0 1 0
1941 57 33 55 92630 1 1.80 3 0 0 0 0 1 0
1942 43 19 58 95307 2 3.20 1 0 0 0 0 1 0
1943 61 36 29 90210 2 0.50 2 0 0 0 0 1 0
1944 49 23 39 95521 4 2.60 1 0 0 0 0 0 0
1945 52 28 39 90095 3 1.90 2 83 0 0 1 1 1
1946 57 33 30 93106 3 1.50 1 151 0 1 0 1 0
1947 53 23 58 94720 4 2.00 3 0 0 0 0 1 1
1948 52 28 62 94111 1 1.80 3 231 0 0 0 1 0
1949 39 15 62 93955 4 2.40 1 86 0 0 0 0 0
1950 58 34 19 90504 1 1.20 3 0 0 0 0 0 0
1951 36 12 38 94109 1 1.50 2 0 0 0 0 0 0
1952 45 21 84 94550 4 2.00 3 0 0 0 0 1 1
1953 30 5 78 92037 1 2.60 2 0 0 0 0 1 0
1954 49 25 22 90058 4 0.20 1 83 0 0 0 1 0
1955 44 20 81 90245 4 2.00 3 277 0 0 0 1 0
1956 43 17 32 90401 3 0.50 2 0 0 0 0 1 0
1957 42 18 89 94539 4 0.80 1 184 0 0 0 0 0
1958 29 4 121 90028 2 3.30 1 0 0 0 0 1 0
1959 28 2 42 95762 1 1.50 1 0 0 0 0 1 1
1960 50 24 130 95833 1 1.00 1 0 0 0 0 0 0
1961 44 19 30 95616 4 0.00 2 0 0 0 0 1 0
1962 52 26 114 94304 1 4.90 1 0 0 0 0 0 0
1963 28 4 155 90019 1 6.33 1 0 0 0 0 0 0
1964 62 38 50 94539 2 1.10 1 0 0 0 0 0 1
1965 34 10 34 95060 1 1.50 2 111 0 0 0 0 1
1966 45 20 94 90095 3 0.50 3 0 0 0 0 1 0
1967 52 26 114 91330 2 2.40 2 0 0 0 0 0 0
1968 43 18 89 94303 3 0.50 3 108 0 0 0 0 1
1969 54 24 49 91801 1 1.40 3 0 0 0 0 1 0
1970 64 38 115 94105 1 2.00 1 0 0 0 0 1 1
1971 27 3 148 92780 1 1.50 1 397 0 0 0 1 1
1972 42 17 72 95616 4 1.10 2 203 0 0 0 0 1
1973 28 2 114 94606 4 2.10 3 0 0 0 0 1 0
1974 47 22 11 92192 2 0.00 1 78 0 0 0 0 0
1975 39 13 63 90095 4 0.20 3 242 0 0 0 0 0
1976 29 3 113 94132 2 0.20 1 0 0 0 0 1 1
1977 39 13 80 95616 2 1.80 1 0 0 0 0 1 0
1978 41 15 54 94303 3 0.50 3 0 0 0 0 1 1
1979 37 11 32 94612 2 1.40 3 0 0 1 0 1 0
1980 41 17 11 91330 1 1.00 1 0 0 0 0 0 0
1981 45 19 141 94706 1 2.40 1 0 0 0 0 1 0
1982 52 26 84 91768 3 3.00 2 0 0 0 0 1 0
1983 58 33 18 94701 3 0.10 2 110 0 0 0 1 0
1984 31 5 20 94720 2 0.30 1 0 0 0 0 0 0
1985 26 1 55 92630 4 1.70 2 175 0 0 0 1 0
1986 31 7 31 94920 4 0.40 2 79 0 0 0 0 0
1987 42 17 114 90065 2 0.40 1 0 0 0 0 0 0
1988 56 31 52 94118 3 2.00 2 0 0 1 1 1 1
1989 52 28 18 91301 1 0.30 1 120 0 0 0 1 0
1990 59 35 55 90274 1 1.80 3 0 0 1 0 0 0
1991 32 8 29 92807 1 0.20 3 76 0 0 0 1 1
1992 46 22 30 90747 3 0.50 1 0 0 0 0 0 0
1993 52 28 38 94302 2 0.80 1 0 0 0 0 0 1
1994 30 5 122 94545 2 3.10 1 0 0 0 0 0 0
1995 32 8 183 94080 1 6.00 1 0 0 0 0 0 0
1996 35 11 41 94720 1 2.40 2 0 0 0 0 0 0
1997 49 24 38 94305 1 1.40 3 0 0 0 0 0 0
1998 54 30 61 92093 1 1.80 3 0 0 0 0 1 0
1999 56 32 103 94111 3 4.00 3 0 1 0 0 0 0
2000 48 22 80 93940 2 2.40 2 0 0 0 0 1 0
2001 28 2 22 95670 1 0.10 2 0 0 0 0 1 0
2002 44 17 128 94928 2 3.25 2 0 1 0 0 0 1
2003 30 4 142 92126 3 4.20 1 359 1 0 0 0 0
2004 44 20 124 90277 1 4.70 1 0 0 0 0 1 1
2005 30 4 44 92704 1 1.90 3 143 0 0 0 0 0
2006 47 23 170 90254 2 6.50 2 0 1 0 1 1 1
2007 64 39 75 94720 4 0.10 2 0 0 0 1 1 1
2008 48 21 78 94010 3 2.00 2 0 0 0 0 1 1
2009 63 38 31 92037 1 1.10 3 125 0 0 0 1 0
2010 25 0 99 92735 1 1.90 1 323 0 0 0 0 0
2011 61 36 41 96001 2 1.50 1 0 0 0 0 0 0
2012 46 21 39 92507 4 0.00 2 0 0 0 0 1 0
2013 57 31 51 93943 1 1.40 1 0 0 0 0 1 1
2014 40 15 52 92691 3 0.80 3 113 0 0 0 1 0
2015 49 19 169 95054 3 5.67 3 167 1 0 1 0 1
2016 30 5 141 95747 1 0.80 1 0 0 0 0 1 0
2017 41 17 93 92835 4 0.80 1 218 0 0 0 0 0
2018 42 15 14 92064 3 1.00 2 0 0 1 0 0 0
2019 63 39 160 90089 2 2.10 1 0 0 0 0 1 1
2020 43 17 44 94611 1 0.20 1 0 0 1 1 1 0
2021 59 34 33 94303 3 0.20 1 0 0 1 0 0 0
2022 46 20 103 91380 4 4.80 3 0 1 0 0 1 0
2023 33 3 71 93561 4 1.80 3 236 0 0 0 0 0
2024 55 29 55 94720 1 0.20 1 151 0 0 0 1 0
2025 36 12 113 94305 4 0.20 1 0 1 0 0 0 0
2026 47 20 79 94720 3 2.00 2 185 0 1 0 0 0
2027 59 33 80 93907 2 0.70 2 0 0 0 0 1 0
2028 38 12 179 94596 2 0.00 1 380 0 0 0 0 0
2029 42 17 9 91710 2 0.00 3 0 0 0 0 0 0
2030 30 3 61 92152 4 2.00 2 0 0 0 0 1 0
2031 63 38 111 95814 2 3.90 1 207 0 1 1 1 1
2032 60 35 80 94608 3 0.50 1 0 0 0 0 1 0
2033 62 37 32 90266 3 0.20 1 0 0 1 0 0 1
2034 49 23 83 92126 1 0.30 1 0 0 0 0 1 1
2035 59 33 91 92821 4 1.90 2 329 0 0 0 0 0
2036 36 10 29 93065 4 1.00 1 0 0 0 0 1 1
2037 46 19 19 94305 3 0.67 2 0 0 0 0 1 0
2038 35 8 52 95616 2 1.00 2 0 0 0 0 0 1
2039 50 24 150 94551 1 7.30 1 0 0 0 0 1 1
2040 51 25 32 91605 2 0.40 3 0 0 0 0 1 0
2041 41 16 91 94720 3 0.50 3 0 0 0 0 0 0
2042 45 20 180 95403 3 8.50 2 535 1 0 0 0 0
2043 41 17 121 94102 1 0.30 1 0 0 0 0 1 0
2044 57 32 25 90049 2 0.20 3 0 0 0 0 1 1
2045 51 25 102 92677 1 0.30 1 0 0 0 0 1 0
2046 52 28 44 95051 4 0.90 2 107 0 0 0 1 0
2047 43 16 161 95134 3 8.00 2 0 1 0 1 1 1
2048 63 38 134 90640 3 4.00 2 0 1 0 0 0 1
2049 28 4 43 94803 1 1.80 2 0 0 0 0 1 1
2050 43 18 94 92717 4 1.10 2 0 0 0 0 1 0
2051 41 15 29 94024 2 0.80 3 98 0 0 0 0 0
2052 34 8 38 90018 4 0.20 1 0 0 0 0 0 0
2053 28 3 120 94080 1 0.80 1 170 0 0 0 0 0
2054 58 32 85 92110 2 2.00 1 161 0 1 1 1 1
2055 39 15 89 92126 2 1.90 1 0 0 0 0 0 0
2056 49 23 25 90274 1 1.40 3 0 0 0 0 1 0
2057 33 8 20 92691 3 1.30 1 83 0 0 0 0 1
2058 37 12 125 91754 2 3.90 1 0 0 0 0 1 1
2059 33 7 18 92093 1 0.60 3 0 0 0 0 0 0
2060 28 3 173 92121 2 6.70 1 222 0 0 0 1 0
2061 54 29 34 92093 4 0.10 3 0 0 0 0 1 1
2062 63 38 159 93950 4 4.90 2 111 1 0 0 0 0
2063 57 31 55 92521 3 2.50 1 219 0 0 1 1 1
2064 56 30 32 94080 2 0.40 3 0 0 0 0 1 0
2065 54 29 65 94545 4 1.80 3 0 0 0 0 0 1
2066 29 5 83 92354 3 1.50 1 0 0 0 0 1 1
2067 41 16 30 95814 2 1.40 2 0 0 0 0 0 1
2068 58 32 180 91770 1 2.90 1 0 0 0 0 0 1
2069 61 37 13 90024 2 0.30 3 0 0 0 0 1 0
2070 30 4 35 90059 4 0.80 1 0 0 0 0 1 1
2071 62 37 95 91107 3 0.50 1 0 0 0 0 0 0
2072 52 28 83 94705 1 0.00 1 0 0 0 0 1 0
2073 29 3 39 95831 4 0.20 1 137 0 0 0 1 1
2074 46 20 54 91107 1 0.70 3 154 0 0 0 1 1
2075 52 27 81 91942 1 1.30 3 293 0 0 0 0 1
2076 40 16 53 94123 4 2.00 3 0 0 0 0 0 0
2077 49 23 119 91030 1 7.30 1 398 0 0 0 0 0
2078 34 9 160 94108 4 8.00 3 0 1 0 0 0 1
2079 35 11 21 95814 2 1.00 2 0 0 0 0 0 0
2080 26 2 40 94132 1 1.00 3 0 0 0 0 1 0
2081 65 40 69 91706 4 0.10 2 0 0 0 0 1 0
2082 52 27 45 95006 1 1.30 2 0 0 0 0 0 0
2083 32 7 55 91301 4 2.00 2 0 0 0 0 1 0
2084 31 7 38 94025 1 0.20 3 0 0 0 0 1 0
2085 36 9 44 93907 4 1.00 2 101 0 1 0 1 0
2086 50 24 45 94105 3 0.60 2 117 0 0 0 1 0
2087 36 12 84 90291 1 0.80 2 0 0 0 0 1 1
2088 51 27 188 94305 2 6.90 2 343 1 0 0 1 0
2089 39 9 29 94701 3 2.00 3 151 0 1 0 0 0
2090 53 29 95 94304 1 2.70 2 0 0 0 0 1 0
2091 50 25 79 95023 1 2.90 1 307 0 0 0 0 1
2092 31 4 41 91360 1 2.00 2 0 0 1 0 1 0
2093 53 23 19 92673 4 0.40 3 84 0 0 0 1 0
2094 48 23 75 94111 4 3.60 3 0 0 0 0 1 1
2095 57 31 64 90024 3 2.50 1 208 0 0 0 0 1
2096 47 21 174 94025 4 3.20 3 0 1 0 0 0 0
2097 55 29 54 95051 2 2.30 3 93 0 0 0 0 0
2098 37 11 14 90740 3 0.10 2 113 0 0 0 1 0
2099 59 35 94 90089 1 3.80 1 272 0 0 0 0 0
2100 53 29 10 90095 2 0.40 1 0 0 0 0 0 0
2101 31 6 145 93940 1 0.80 1 84 0 0 0 1 0
2102 35 5 203 95032 1 10.00 3 0 1 0 0 0 0
2103 25 -1 81 92647 2 1.60 3 0 0 0 0 1 1
2104 37 13 153 90630 2 6.50 1 0 0 0 0 1 1
2105 40 14 58 90245 4 0.20 3 0 0 0 0 1 0
2106 31 5 49 94114 4 1.80 3 0 0 0 0 1 1
2107 62 38 132 90210 1 2.90 1 0 0 0 0 0 0
2108 41 17 85 90291 4 0.20 3 229 0 0 0 0 0
2109 56 32 85 94132 3 2.67 1 0 0 1 0 1 0
2110 47 23 178 93014 1 6.50 3 0 1 0 0 0 0
2111 28 4 104 94301 3 2.50 1 0 0 0 0 0 0
2112 60 34 40 94105 1 1.60 1 0 0 0 0 1 0
2113 27 2 103 93117 1 1.90 1 120 0 0 0 1 0
2114 57 33 25 92064 2 1.00 1 0 0 0 0 1 0
2115 62 36 69 95039 2 1.70 3 0 0 0 0 1 0
2116 57 31 30 95070 3 1.40 1 0 0 0 0 0 0
2117 44 17 70 94920 3 2.67 2 0 0 0 0 0 0
2118 31 7 15 91380 3 0.90 3 0 0 0 0 1 0
2119 31 5 125 91320 2 1.30 1 0 0 0 0 1 1
2120 39 13 50 94923 3 0.50 3 0 0 0 0 0 0
2121 41 17 44 93106 1 0.30 3 0 0 0 0 1 0
2122 41 17 38 92182 4 2.20 2 180 0 0 0 0 1
2123 55 29 64 93437 3 0.80 1 119 0 0 0 0 1
2124 28 2 9 95014 1 0.10 2 0 0 0 0 1 0
2125 35 9 44 92054 3 0.90 1 89 0 0 0 0 0
2126 44 20 93 91910 4 0.80 1 101 0 0 0 1 0
2127 44 19 83 92121 4 0.40 1 141 0 0 0 0 0
2128 40 14 179 94720 2 0.00 1 0 0 0 0 0 0
2129 65 40 40 94104 1 1.10 3 0 0 0 0 0 0
2130 35 10 58 91754 4 0.70 3 232 0 0 0 0 0
2131 55 31 74 94607 3 2.67 1 0 0 0 0 0 1
2132 55 31 15 95747 1 0.20 1 0 0 0 0 0 0
2133 59 35 11 94949 2 1.00 1 0 0 0 0 0 1
2134 39 15 41 95035 1 2.00 2 176 0 0 0 1 0
2135 50 24 68 95821 1 1.50 2 120 0 0 0 1 1
2136 45 15 28 95039 1 0.75 3 0 0 1 0 0 0
2137 50 26 115 95008 1 1.20 3 0 1 0 0 0 1
2138 65 40 83 92354 4 0.10 2 247 0 0 0 1 0
2139 36 11 40 93611 2 1.10 2 166 0 1 0 0 0
2140 57 32 113 91768 1 0.10 3 0 0 0 0 1 0
2141 53 27 89 92130 1 0.80 3 0 0 1 0 1 0
2142 28 4 38 92109 4 1.60 1 0 0 0 0 0 0
2143 55 31 62 93943 4 1.50 1 0 0 0 0 1 0
2144 56 31 65 92093 3 1.70 1 109 0 0 0 0 0
2145 33 6 168 94720 3 5.67 2 0 1 1 1 1 0
2146 57 32 40 94720 3 1.70 1 0 0 0 0 1 1
2147 27 3 30 93108 1 1.00 3 80 0 0 0 0 0
2148 27 3 20 92007 4 1.00 1 0 0 0 0 0 0
2149 54 30 58 92007 2 3.20 3 0 0 0 0 0 0
2150 48 22 150 95039 1 7.30 1 193 0 0 0 0 0
2151 62 38 54 91320 1 0.80 1 0 0 1 0 0 1
2152 41 16 19 91730 2 0.30 2 105 0 0 0 0 0
2153 62 38 30 94304 3 0.10 3 128 0 0 0 1 0
2154 40 14 123 90041 1 5.20 1 0 0 0 0 1 0
2155 32 8 45 94558 1 2.40 2 0 0 0 0 0 0
2156 62 38 154 94305 1 2.90 1 0 0 0 0 1 0
2157 35 11 93 90747 2 2.70 1 0 0 0 0 1 1
2158 25 0 71 93727 4 0.20 1 78 0 1 0 0 0
2159 50 25 83 94720 4 3.10 1 0 1 0 0 0 1
2160 61 35 99 94085 1 4.80 3 255 1 0 0 0 1
2161 43 17 55 93933 3 2.20 2 0 0 0 0 0 0
2162 52 28 38 94131 4 0.90 2 95 0 0 0 1 1
2163 39 13 74 95008 3 0.90 2 155 0 0 0 1 0
2164 33 3 69 92161 4 1.80 3 0 0 0 0 1 0
2165 27 3 104 92007 2 2.50 1 184 0 1 0 1 0
2166 27 0 38 95929 4 1.00 3 154 0 0 0 1 0
2167 32 8 25 93524 3 0.90 3 0 0 0 0 1 1
2168 65 40 162 94596 1 1.30 1 0 0 0 0 1 0
2169 55 29 64 93063 4 2.60 3 0 0 0 0 1 0
2170 52 27 30 94305 2 0.70 2 0 0 0 0 1 1
2171 39 13 52 95039 3 0.50 3 0 0 1 0 0 1
2172 35 11 42 93108 1 1.50 3 0 0 0 0 1 0
2173 39 15 79 92028 2 1.80 2 219 0 0 0 0 0
2174 34 10 34 93407 1 1.70 1 164 0 0 0 0 0
2175 30 5 123 95605 2 3.10 1 0 0 0 0 1 0
2176 37 12 160 94305 2 3.30 1 0 0 0 0 0 0
2177 41 14 51 91320 3 2.33 2 0 0 0 0 1 0
2178 31 7 108 94507 1 4.00 1 0 0 0 0 1 0
2179 37 13 158 93943 2 2.30 2 0 1 0 1 1 1
2180 49 23 68 90024 1 1.50 2 0 0 0 0 0 0
2181 58 33 42 91380 2 1.60 3 0 0 0 0 1 0
2182 45 15 32 94143 1 0.75 3 105 0 0 0 1 0
2183 40 14 22 94566 2 1.40 3 0 0 0 0 0 0
2184 34 8 29 90025 2 2.00 3 0 0 0 0 1 1
2185 62 36 183 90095 2 3.40 3 0 1 0 0 0 0
2186 54 30 69 92009 1 1.60 3 0 0 0 0 1 1
2187 26 2 92 96001 2 0.20 1 0 0 0 0 1 0
2188 54 30 40 90024 2 1.00 3 0 0 0 0 0 0
2189 29 4 9 92037 4 0.50 3 86 0 0 0 1 1
2190 48 23 128 94309 1 0.60 1 0 0 0 0 1 1
2191 27 3 110 96150 2 0.20 1 294 0 1 0 0 1
2192 42 18 171 90027 2 8.00 1 0 0 0 0 1 0
2193 25 1 13 95814 4 1.00 1 95 0 0 0 0 1
2194 45 19 25 94609 2 0.10 3 102 0 0 0 1 0
2195 34 9 123 94553 1 1.60 2 0 1 0 0 1 0
2196 51 27 33 92037 4 0.20 1 83 0 0 0 1 0
2197 51 24 189 95211 4 4.75 2 0 1 0 0 1 0
2198 60 35 34 94102 1 0.30 3 0 0 0 0 1 0
2199 59 35 58 91355 1 0.00 2 0 0 0 0 1 0
2200 49 24 51 91016 1 1.30 2 98 0 0 0 0 1
2201 50 25 29 90095 2 1.30 1 0 0 0 0 0 0
2202 41 16 111 92009 2 0.40 1 0 0 0 0 0 0
2203 49 24 43 94709 4 1.90 3 0 0 0 0 1 0
2204 50 25 130 91320 1 0.60 1 311 0 0 0 0 0
2205 63 37 20 94704 2 0.40 1 76 0 0 0 0 0
2206 63 37 101 95819 2 2.80 1 0 0 0 0 0 0
2207 33 7 48 92831 4 2.20 2 207 0 0 0 0 0
2208 38 12 180 90245 1 2.80 3 158 1 0 0 1 0
2209 64 40 92 91109 2 0.00 3 185 0 1 0 1 0
2210 36 10 33 94080 3 0.90 1 0 0 0 0 0 0
2211 58 33 51 95006 2 1.90 2 0 0 0 0 0 0
2212 39 14 31 92717 2 1.40 2 94 0 0 0 1 1
2213 46 22 83 95060 1 2.70 1 0 0 0 0 1 0
2214 61 37 45 94610 1 0.80 1 0 0 0 0 0 0
2215 53 27 89 92735 1 0.80 3 146 0 0 0 1 1
2216 28 3 193 94501 3 4.00 2 0 1 0 0 1 0
2217 64 40 89 94707 1 3.80 1 0 0 0 0 0 0
2218 48 24 162 91355 4 3.30 2 446 1 0 1 1 0
2219 38 13 9 92634 2 0.30 2 0 0 0 0 0 0
2220 52 22 58 93101 4 2.00 3 223 0 0 0 1 0
2221 65 40 80 94105 1 0.80 3 0 0 0 0 1 0
2222 59 33 73 92056 2 1.70 3 0 0 0 0 1 1
2223 45 20 41 95008 1 0.30 1 0 0 0 0 1 0
2224 53 28 74 91711 3 2.00 2 0 0 1 0 0 0
2225 38 12 29 92084 2 1.40 3 0 0 0 0 1 0
2226 54 24 25 90505 4 0.40 3 115 0 0 0 0 0
2227 25 1 98 90717 1 5.40 1 0 0 0 0 1 0
2228 61 35 59 90840 4 1.70 2 0 0 0 0 1 1
2229 48 23 43 90254 4 1.90 3 0 0 0 0 1 0
2230 46 22 72 91711 4 1.40 2 149 0 0 0 1 1
2231 36 11 183 94704 1 3.00 3 0 1 0 1 1 1
2232 46 20 134 94575 1 5.70 1 146 0 1 0 1 0
2233 59 33 140 95035 2 0.50 1 262 0 0 0 1 0
2234 59 35 39 92028 1 1.80 3 0 0 0 0 1 0
2235 36 12 35 95812 4 0.40 2 0 0 0 0 1 0
2236 63 37 141 92121 2 6.90 1 0 0 0 0 1 1
2237 51 24 23 95616 1 0.50 2 0 0 0 0 1 0
2238 30 5 134 92647 1 0.00 1 0 0 0 0 1 1
2239 48 22 35 92709 1 1.40 3 0 0 0 0 1 0
2240 55 29 42 95833 4 2.50 1 0 0 1 0 0 0
2241 41 17 81 92868 4 0.20 3 167 0 1 0 0 0
2242 26 0 14 94301 4 0.40 1 94 0 0 0 1 0
2243 41 17 45 93437 1 1.80 1 172 0 1 0 1 0
2244 54 28 79 91342 3 1.70 2 150 0 0 0 1 1
2245 57 31 53 92806 1 0.80 2 120 0 0 0 0 0
2246 54 28 33 94111 2 0.70 2 0 0 0 0 0 1
2247 35 11 190 92093 3 3.10 2 266 1 0 0 0 0
2248 60 34 60 95616 1 2.50 3 103 0 0 0 0 0
2249 63 37 8 94618 1 0.80 2 97 0 0 0 1 0
2250 41 14 38 95814 3 1.00 2 150 0 0 0 1 0
2251 46 22 154 93109 1 5.00 1 0 0 0 0 1 0
2252 31 5 54 92173 4 2.20 2 0 0 0 0 0 0
2253 58 32 41 95819 3 1.40 1 0 0 0 0 1 0
2254 59 35 25 95827 2 0.30 1 75 0 0 0 1 0
2255 46 22 53 90025 2 1.70 1 109 0 0 0 0 0
2256 33 9 79 94612 1 0.10 1 0 0 0 0 1 0
2257 56 31 13 94305 4 0.90 2 76 0 0 1 1 1
2258 47 23 130 91763 2 1.40 1 0 0 0 0 0 0
2259 59 33 93 91320 2 0.70 2 0 0 0 0 0 0
2260 24 0 82 90401 3 0.80 1 0 0 0 0 1 0
2261 39 14 15 93561 2 0.30 2 92 0 0 0 0 0
2262 30 3 150 94305 4 5.00 2 0 1 0 0 1 0
2263 55 29 131 95070 2 0.70 2 0 1 0 0 0 1
2264 47 21 28 92868 3 1.50 1 0 0 0 0 1 0
2265 35 11 9 93106 4 0.70 2 0 0 0 0 1 0
2266 47 23 88 94305 4 1.40 2 0 0 0 0 0 0
2267 38 13 143 94550 1 4.10 1 0 0 0 0 0 0
2268 38 13 168 92647 2 1.30 3 0 1 0 0 0 0
2269 27 3 105 94304 1 3.00 2 0 1 1 0 0 0
2270 42 18 62 94305 3 2.10 3 0 0 0 0 1 0
2271 26 2 51 92103 4 2.60 1 0 0 0 0 1 0
2272 60 34 101 94928 3 4.40 1 0 0 0 0 1 1
2273 27 3 90 91365 3 0.80 1 0 0 0 0 1 0
2274 27 1 83 91775 4 2.10 3 0 0 0 0 1 1
2275 40 15 21 90034 2 0.00 3 0 0 0 0 1 0
2276 40 16 115 94305 1 3.40 1 0 0 0 0 1 0
2277 29 3 172 92093 4 4.40 1 0 1 0 0 0 0
2278 30 6 32 91330 2 1.00 2 0 0 0 0 0 0
2279 30 4 204 91107 2 4.50 1 0 0 0 0 1 0
2280 47 23 34 91711 4 0.60 1 0 0 0 1 1 1
2281 33 7 30 94920 2 2.00 3 132 0 0 0 0 0
2282 57 32 31 95039 3 1.30 2 0 0 0 0 1 1
2283 38 14 90 94110 2 2.70 1 0 0 0 0 1 1
2284 54 28 79 92677 4 2.60 3 0 0 0 0 0 0
2285 47 23 22 94901 4 0.60 1 0 0 0 0 1 1
2286 48 22 114 92007 1 2.40 3 0 1 0 0 1 0
2287 62 36 42 94122 1 0.50 3 128 0 0 0 1 0
2288 30 6 29 92121 1 0.20 3 90 0 0 0 1 0
2289 35 11 72 94706 3 2.60 2 0 0 0 0 1 0
2290 59 35 68 93117 1 1.80 3 95 0 0 0 0 0
2291 38 13 78 91942 4 0.70 3 0 0 0 0 1 0
2292 47 23 90 95449 1 2.70 1 323 0 0 0 0 0
2293 57 33 170 95051 2 2.10 2 0 1 0 0 0 0
2294 42 17 14 91768 2 0.10 2 0 0 0 0 1 0
2295 39 15 129 90035 2 1.90 1 0 0 0 0 0 0
2296 53 23 39 92101 3 1.00 3 87 0 0 0 1 0
2297 27 3 82 94305 2 0.20 1 0 0 0 0 0 1
2298 59 35 31 94063 3 0.40 2 0 0 0 0 1 1
2299 48 24 9 92630 4 0.50 2 0 0 0 0 0 1
2300 62 37 15 94583 3 0.10 3 91 0 0 0 0 0
2301 66 41 70 93711 3 2.20 1 0 0 0 0 0 0
2302 38 13 84 93403 4 0.70 3 0 0 0 0 0 0
2303 42 17 155 92806 1 7.00 1 0 0 0 0 0 1
2304 47 21 89 94720 2 0.80 3 0 0 0 0 1 1
2305 27 2 170 95818 3 4.70 1 0 1 0 0 1 0
2306 32 7 185 92009 2 6.70 1 0 0 0 1 1 1
2307 37 13 82 92373 2 2.20 1 0 0 0 0 0 0
2308 56 31 60 92009 3 1.70 1 0 0 0 0 1 0
2309 39 13 58 94590 2 2.40 2 0 0 0 0 1 0
2310 36 12 29 94583 1 1.33 1 81 0 0 0 1 0
2311 32 6 32 92806 2 0.30 1 0 0 0 0 0 0
2312 62 37 115 90245 4 3.40 2 0 0 0 0 1 1
2313 48 22 83 91345 2 2.40 2 0 0 0 0 1 0
2314 58 32 54 94035 3 0.30 2 0 0 0 0 1 1
2315 27 2 112 94501 4 1.80 3 0 0 1 0 1 0
2316 52 26 182 95818 2 1.40 2 0 1 0 0 1 0
2317 54 30 112 94920 2 6.80 1 0 0 0 0 1 0
2318 31 5 129 95814 3 5.90 3 319 1 1 1 0 1
2319 60 34 23 94803 1 0.80 2 112 0 0 0 1 0
2320 34 9 198 95819 2 3.00 1 422 0 0 0 1 0
2321 46 22 84 92692 4 2.00 3 0 0 0 0 1 0
2322 41 15 39 91380 3 0.50 3 0 0 0 0 0 0
2323 62 37 129 94143 1 1.30 1 0 0 0 0 1 0
2324 31 7 113 94542 2 2.00 2 315 0 0 0 0 0
2325 41 11 35 93107 1 0.75 3 114 0 0 0 1 0
2326 55 30 85 94591 1 0.10 3 0 0 0 0 0 0
2327 45 19 73 94086 4 2.90 1 0 0 0 0 0 0
2328 51 25 70 90095 1 0.80 3 0 0 1 0 1 0
2329 27 2 130 92182 3 4.40 1 192 1 0 0 1 0
2330 30 4 39 94022 1 1.50 1 0 0 0 0 1 0
2331 31 5 72 95133 4 1.80 2 242 0 0 0 1 1
2332 61 37 68 90245 4 2.30 3 0 0 0 0 0 0
2333 40 16 35 94022 1 1.40 3 0 0 0 0 1 1
2334 45 21 61 95812 3 0.70 1 0 0 1 1 1 1
2335 45 21 69 90025 4 1.90 1 0 0 0 0 0 0
2336 37 13 59 93907 1 3.60 2 0 0 0 0 0 0
2337 34 8 99 93460 2 4.50 3 217 0 0 0 0 0
2338 43 16 201 95054 1 10.00 2 0 1 0 0 0 1
2339 42 18 130 94611 2 7.50 1 0 0 0 0 0 1
2340 56 31 72 90095 3 2.00 2 0 0 0 0 0 0
2341 33 9 44 94112 1 1.20 1 0 0 0 0 0 0
2342 36 10 91 92028 1 1.50 3 289 0 0 0 1 0
2343 62 37 92 94608 3 0.50 1 310 0 0 0 1 0
2344 58 34 55 90032 1 0.80 1 168 0 0 0 1 1
2345 65 40 20 94608 3 0.50 1 102 0 0 0 1 1
2346 65 40 89 90291 1 4.10 1 299 1 0 1 1 0
2347 52 26 59 92660 2 1.50 2 239 0 0 0 0 1
2348 64 39 8 92104 3 0.10 3 87 0 0 0 0 1
2349 51 25 85 94015 4 4.90 1 0 0 0 0 1 1
2350 59 35 94 94610 1 4.30 1 76 0 1 1 1 0
2351 52 28 22 91711 2 0.40 1 0 0 0 0 1 1
2352 55 31 74 94611 2 3.20 3 0 0 0 0 1 1
2353 46 19 59 93555 3 2.67 2 0 0 0 0 0 0
2354 61 36 12 93023 4 0.60 2 0 0 0 0 1 1
2355 35 9 8 94043 1 0.40 2 0 0 0 0 1 0
2356 56 31 74 94920 3 1.60 3 0 0 0 0 1 1
2357 31 5 184 92064 4 3.40 2 0 1 0 1 1 1
2358 44 19 34 95005 4 0.00 2 0 0 0 0 0 0
2359 53 27 63 93109 2 0.80 3 0 0 1 0 1 0
2360 36 12 123 95060 2 5.60 2 0 1 0 1 1 1
2361 27 1 85 93302 2 1.60 3 0 0 0 0 0 0
2362 36 12 109 94928 3 0.50 3 0 1 1 1 1 0
2363 40 15 31 94720 1 0.60 3 0 0 0 0 1 0
2364 39 13 61 90095 2 2.40 2 90 0 0 0 1 0
2365 59 35 88 94923 2 1.60 1 0 0 0 0 0 1
2366 43 18 22 91311 2 0.30 2 0 0 0 0 0 0
2367 30 4 63 95008 4 2.20 2 0 0 1 0 1 0
2368 26 1 80 95616 4 0.20 1 0 0 0 0 1 1
2369 48 22 78 94588 3 2.10 1 0 0 0 0 1 1
2370 50 24 45 94005 4 0.10 1 93 0 0 0 1 0
2371 33 7 51 94040 4 2.10 3 0 0 0 0 0 1
2372 32 6 111 95014 2 1.50 3 0 0 0 0 0 0
2373 34 10 45 93943 3 2.80 1 153 0 0 0 1 1
2374 33 9 184 94304 2 4.80 2 0 1 0 0 0 0
2375 32 5 41 92008 2 1.00 2 112 0 1 0 1 0
2376 55 30 69 91007 4 1.30 3 0 0 1 1 1 1
2377 58 33 23 91768 3 0.20 1 0 0 0 0 0 0
2378 47 23 160 92037 2 6.67 1 0 0 0 0 0 0
2379 30 5 61 95605 1 0.80 2 251 0 1 1 1 0
2380 42 18 110 94720 2 6.10 1 182 0 0 0 1 0
2381 40 16 50 92606 2 0.60 3 0 0 0 0 0 0
2382 33 9 49 94928 1 2.40 2 0 0 0 0 1 0
2383 46 20 185 94131 4 7.50 2 428 1 0 0 0 1
2384 63 39 52 90033 2 1.10 1 0 0 0 0 1 1
2385 62 37 53 92028 2 2.80 1 0 0 0 0 1 0
2386 43 17 125 94720 4 3.50 2 0 1 0 0 0 0
2387 31 5 72 94542 3 1.60 1 0 0 0 0 1 0
2388 28 2 51 94720 4 1.80 3 0 0 0 0 0 1
2389 64 39 23 91768 3 0.50 1 0 0 1 0 0 0
2390 27 1 41 90033 1 1.90 3 0 0 0 0 0 1
2391 33 9 41 95814 3 2.00 1 108 0 0 0 1 0
2392 39 12 138 92697 1 4.67 2 0 1 0 0 1 0
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2788 60 34 152 92807 2 6.90 1 0 0 0 0 0 0
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2790 27 3 34 90065 1 0.20 3 0 0 0 0 1 1
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2792 44 20 182 94710 2 7.60 1 0 0 0 0 0 0
2793 54 30 44 95616 3 1.50 1 117 0 0 0 1 0
2794 57 33 122 94301 2 6.00 1 153 0 1 1 1 1
2795 52 26 35 94550 4 1.80 1 0 0 0 0 1 0
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2797 57 32 30 94024 2 2.00 2 0 0 0 0 0 0
2798 65 39 53 94608 1 2.50 3 0 0 0 0 1 0
2799 58 33 28 94720 1 0.30 3 0 0 0 0 1 0
2800 64 39 85 94720 4 3.40 2 200 0 0 0 1 0
2801 52 26 28 93907 2 0.70 2 90 0 0 0 1 1
2802 58 34 41 91016 4 0.40 1 177 0 0 0 1 0
2803 52 22 154 90650 1 5.00 3 0 1 1 1 1 0
2804 43 18 41 92831 1 0.30 3 0 0 0 0 1 0
2805 56 32 33 95014 3 1.50 1 0 0 0 0 0 0
2806 37 12 182 94523 3 5.80 3 0 1 0 0 1 0
2807 53 27 59 90740 2 0.80 3 0 0 0 0 1 0
2808 27 2 129 90009 2 3.30 1 0 0 1 0 0 0
2809 53 27 35 94583 3 0.90 3 136 0 0 0 1 0
2810 42 16 185 94705 3 2.20 2 0 1 1 1 1 1
2811 58 34 45 93943 4 1.30 2 201 0 0 0 0 0
2812 36 12 62 94065 4 0.10 2 145 0 0 0 0 0
2813 53 28 183 96008 3 8.20 3 467 1 0 1 1 1
2814 48 22 14 94303 2 0.10 3 0 0 0 0 1 0
2815 54 28 53 94002 1 2.20 3 0 0 0 0 1 1
2816 26 1 48 94019 3 2.60 3 169 0 0 0 0 0
2817 50 26 128 92780 2 0.40 1 0 0 0 0 1 0
2818 31 7 105 94025 1 4.00 1 331 0 0 0 1 0
2819 35 9 40 93943 3 0.90 1 0 0 0 0 1 1
2820 63 37 10 90095 2 0.40 1 0 0 0 0 1 0
2821 29 4 102 90245 2 3.30 1 303 0 0 0 0 0
2822 57 32 31 94143 3 0.10 2 0 0 0 0 1 0
2823 30 5 30 90245 4 0.80 1 158 0 0 0 1 0
2824 33 7 21 90095 1 0.60 3 0 0 1 0 0 0
2825 62 36 44 92867 2 0.30 1 0 0 0 0 0 0
2826 35 10 48 95060 1 2.50 3 164 0 0 0 1 0
2827 37 11 21 94604 3 0.20 2 0 0 0 0 1 0
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2829 35 10 64 94306 3 0.70 2 230 0 0 0 1 0
2830 35 9 82 94720 1 2.50 1 138 0 0 0 0 0
2831 59 35 39 95616 4 1.30 1 0 0 0 0 1 0
2832 53 27 45 90405 2 0.80 3 0 0 0 0 1 1
2833 45 21 133 92056 4 5.70 3 0 1 0 1 1 1
2834 46 22 152 90009 2 1.40 1 0 0 0 0 1 0
2835 40 16 12 90033 1 1.00 1 91 0 1 0 0 0
2836 42 16 32 94112 3 1.50 1 149 0 0 0 1 0
2837 25 1 74 94085 4 2.60 1 204 0 0 0 0 0
2838 39 14 54 92037 2 1.10 2 159 0 0 0 0 1
2839 30 6 181 94542 3 4.10 2 0 1 0 1 1 1
2840 58 33 75 90034 2 0.00 3 0 0 0 0 1 0
2841 41 15 95 91101 3 0.10 1 240 0 1 0 0 0
2842 37 11 190 94305 4 7.30 2 565 1 0 1 1 0
2843 36 11 90 94709 1 2.80 1 0 0 0 0 1 0
2844 27 3 20 95616 4 1.00 1 134 0 0 0 1 1
2845 60 34 64 95014 3 2.20 3 0 0 0 0 0 0
2846 62 36 85 90019 2 1.70 3 98 0 0 0 0 0
2847 67 43 105 93711 4 1.70 2 0 0 0 0 1 0
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2849 24 -1 78 94720 2 1.80 2 0 0 0 0 0 0
2850 45 21 158 94085 2 6.67 1 132 0 0 0 1 1
2851 58 34 125 94720 1 4.30 1 219 0 0 0 0 0
2852 61 36 81 95449 3 1.80 2 0 0 0 0 1 0
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2854 28 3 54 94550 4 0.60 2 0 0 0 0 1 0
2855 49 24 79 94025 4 3.60 3 212 0 0 0 1 0
2856 35 11 38 91706 1 1.50 2 136 0 0 0 1 0
2857 36 10 172 94704 4 1.00 2 295 1 0 0 1 0
2858 34 8 184 93106 3 7.50 1 0 1 0 0 0 0
2859 36 11 158 95054 2 7.80 1 114 0 0 0 1 1
2860 35 11 188 94596 1 0.90 3 282 1 0 0 1 0
2861 27 2 20 95064 4 0.50 3 0 0 0 0 1 0
2862 42 18 60 92677 4 0.20 3 151 0 0 0 0 1
2863 65 39 113 92096 4 2.40 3 0 0 0 0 1 0
2864 29 5 70 93101 4 0.00 1 0 0 0 0 1 1
2865 65 41 84 95762 2 0.00 3 0 0 0 0 1 1
2866 59 33 23 94002 2 0.20 3 0 0 0 0 1 0
2867 46 22 141 90089 2 3.30 1 0 0 1 1 1 1
2868 59 33 110 90007 3 4.40 1 264 0 0 0 1 0
2869 52 26 31 94923 4 1.80 1 0 0 0 0 1 1
2870 60 35 22 92660 1 1.30 1 80 0 0 0 0 0
2871 43 17 91 95134 1 5.20 1 0 0 1 0 0 0
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2874 48 23 35 93943 1 0.10 1 0 0 1 0 1 0
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2879 45 19 122 94590 4 4.10 2 0 1 0 0 1 0
2880 42 15 73 94545 3 2.33 2 0 0 0 0 0 0
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2883 55 31 69 90089 1 2.70 2 0 0 1 0 0 1
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2886 57 31 113 91711 4 0.60 3 327 1 0 0 1 0
2887 50 25 58 93940 1 1.30 2 0 0 0 0 1 0
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2890 53 29 33 94591 3 1.90 2 144 0 0 0 0 0
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2892 59 33 63 90044 1 1.60 1 0 0 0 0 1 1
2893 58 32 43 92093 1 2.80 2 0 0 0 0 1 0
2894 38 14 70 94022 4 2.00 3 0 0 0 0 1 0
2895 49 25 19 94545 1 0.90 3 0 0 0 0 0 0
2896 60 36 39 94501 4 1.30 2 140 0 0 0 1 0
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2900 42 18 114 94305 1 0.30 1 0 0 0 0 0 0
2901 52 28 55 91320 2 3.20 3 151 0 0 0 0 0
2902 54 30 21 95351 1 0.10 2 76 0 0 0 1 0
2903 56 30 50 94022 4 2.80 2 0 0 1 0 1 0
2904 58 34 41 95833 3 1.50 1 0 0 0 0 1 1
2905 56 32 190 90032 3 2.20 1 0 1 0 1 1 0
2906 64 40 8 94110 2 0.30 3 0 0 0 0 1 0
2907 35 8 55 92870 2 1.67 2 0 0 0 0 1 0
2908 45 20 40 91763 2 1.30 1 0 0 0 0 0 1
2909 57 32 22 95616 3 0.10 2 0 0 0 0 1 0
2910 35 8 44 94590 2 1.67 2 0 0 1 0 0 1
2911 46 22 102 95039 3 4.50 3 0 1 0 0 1 0
2912 30 4 54 93033 4 1.80 3 235 0 0 0 1 0
2913 44 20 130 90291 4 3.20 2 0 1 0 0 0 0
2914 39 12 75 94501 3 2.33 2 0 0 0 0 1 1
2915 42 18 42 95929 2 1.70 1 0 0 0 0 1 0
2916 34 9 133 92110 1 3.80 1 0 0 0 0 1 0
2917 46 20 40 92037 1 1.20 2 0 0 0 0 1 0
2918 55 31 34 94305 3 1.50 1 101 0 0 0 1 0
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2920 35 10 64 94542 3 2.30 1 0 0 0 1 1 1
2921 60 35 44 94720 2 1.60 3 170 0 0 0 1 0
2922 50 24 95 91401 1 0.30 1 262 0 0 0 1 0
2923 52 26 49 90011 1 1.40 3 0 0 0 0 1 0
2924 51 27 12 91007 2 0.20 1 0 0 0 0 0 0
2925 51 26 98 90024 1 1.30 3 0 0 0 0 1 1
2926 59 35 42 91711 4 0.40 1 0 0 0 0 1 0
2927 53 28 44 92152 2 0.60 3 0 0 0 0 1 1
2928 43 17 124 94117 1 5.20 1 0 0 0 0 0 0
2929 31 6 175 95005 2 6.70 1 0 0 0 0 1 0
2930 32 6 22 94061 4 0.30 1 0 0 0 0 0 0
2931 41 17 78 95929 4 2.67 1 99 0 0 0 1 0
2932 31 4 54 91741 2 1.00 2 109 0 0 0 0 1
2933 41 16 154 92407 1 7.00 1 0 0 0 0 0 1
2934 47 22 42 95820 3 2.70 2 0 0 0 0 1 0
2935 37 13 195 91763 2 6.50 1 635 0 0 0 1 0
2936 53 23 80 93023 1 3.00 3 0 0 0 0 1 1
2937 49 22 81 94301 3 2.00 2 0 0 0 0 1 0
2938 62 36 89 94022 2 2.00 1 0 0 0 0 1 1
2939 33 9 61 93943 3 2.60 2 0 0 0 0 1 0
2940 54 24 25 90016 4 0.40 3 0 0 0 0 0 1
2941 27 3 43 90245 3 0.10 2 163 0 0 0 1 0
2942 60 35 122 92606 1 2.60 1 352 0 0 0 0 0
2943 29 5 160 90405 1 4.30 1 385 0 0 0 1 0
2944 56 32 83 91320 4 1.60 2 0 0 0 0 0 0
2945 55 30 79 92182 2 0.00 3 0 0 0 0 0 0
2946 45 19 30 94305 3 0.50 2 0 0 0 0 1 1
2947 33 9 145 94110 1 4.30 1 437 0 0 0 1 0
2948 45 21 151 90024 2 3.30 1 328 0 0 0 0 0
2949 44 18 14 94720 2 0.10 3 98 0 0 0 0 1
2950 37 11 19 95054 3 0.20 2 0 0 0 0 1 0
2951 42 16 55 95820 1 0.70 3 135 0 0 0 1 0
2952 26 2 132 94720 2 2.40 3 0 1 0 0 0 1
2953 33 8 182 94065 1 8.60 1 0 0 0 0 0 0
2954 61 36 78 91330 3 0.50 1 0 0 0 0 1 1
2955 31 7 42 95822 1 2.40 2 0 0 0 0 1 1
2956 54 29 44 95518 2 2.30 3 187 0 0 0 1 0
2957 62 38 195 91125 4 5.20 3 522 1 0 1 1 1
2958 61 36 53 92717 3 0.50 2 0 0 0 0 1 0
2959 66 41 65 92612 3 2.40 1 0 0 0 0 0 0
2960 38 12 43 94305 4 0.20 1 0 0 0 0 0 0
2961 55 29 38 90035 4 1.50 3 0 0 0 0 0 1
2962 60 36 50 95741 1 1.80 3 0 0 0 0 1 0
2963 23 -2 81 91711 2 1.80 2 0 0 0 0 0 0
2964 29 3 41 94588 1 1.90 3 0 0 0 0 1 1
2965 35 10 73 93943 3 2.30 1 0 0 0 0 1 0
2966 53 27 31 91605 2 0.40 3 104 0 0 0 0 1
2967 32 7 84 91320 3 0.60 2 0 0 0 0 1 1
2968 38 14 95 94109 2 1.90 1 0 0 0 0 1 1
2969 44 18 162 90840 4 1.30 1 301 1 0 0 0 0
2970 43 18 60 95039 2 2.20 3 115 0 0 0 0 0
2971 54 30 121 95039 2 1.10 3 0 1 1 0 0 0
2972 52 25 43 91380 3 1.00 2 165 0 0 1 1 1
2973 31 7 38 92182 1 1.80 2 182 0 0 1 1 1
2974 47 22 82 92084 1 2.90 1 276 0 0 0 1 0
2975 42 18 52 95008 4 1.90 1 0 0 0 0 1 0
2976 57 33 43 91016 3 1.50 1 168 0 0 0 0 1
2977 33 8 82 95747 1 2.60 2 0 0 1 1 1 1
2978 35 10 161 94109 1 4.10 1 0 0 1 0 1 0
2979 56 30 24 94550 2 0.70 2 0 0 0 0 1 0
2980 57 32 102 90210 1 2.60 1 0 0 0 0 1 0
2981 25 -1 53 94305 3 2.40 2 0 0 0 0 0 0
2982 53 28 85 92037 1 1.20 1 0 0 0 0 0 0
2983 59 33 111 95120 3 4.40 1 0 0 0 0 1 0
2984 56 32 90 95054 2 0.30 1 0 0 0 0 1 1
2985 54 28 94 92709 2 1.10 1 188 0 0 0 0 0
2986 48 23 63 94606 4 3.60 3 0 0 0 0 0 0
2987 55 30 153 94305 2 2.80 2 0 1 1 1 1 0
2988 33 7 39 92037 2 2.00 3 0 0 0 0 0 0
2989 46 21 205 95762 2 8.80 1 181 0 1 0 1 0
2990 42 18 142 93106 1 3.40 1 496 0 0 0 1 0
2991 49 25 163 94608 2 0.40 1 0 0 1 0 0 0
2992 42 17 113 93014 3 1.00 1 0 0 1 0 1 0
2993 46 21 64 92104 1 2.90 1 0 0 0 0 1 1
2994 65 40 20 92647 3 0.10 3 0 0 0 0 0 1
2995 50 24 179 94025 1 1.00 1 0 0 0 0 1 0
2996 54 24 91 91101 2 4.50 3 90 0 0 0 1 0
2997 42 18 103 91367 1 3.33 1 0 1 1 1 1 1
2998 57 33 80 95053 4 1.60 2 0 0 0 0 0 0
2999 61 35 38 93106 2 0.30 1 0 0 0 0 0 0
3000 60 34 44 94143 1 0.20 1 0 0 0 0 0 1
3001 40 14 164 94720 1 4.30 2 0 1 0 0 0 0
3002 33 7 81 92647 3 1.60 1 0 0 0 0 1 1
3003 37 13 95 90095 2 1.70 2 83 0 0 0 0 0
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3006 62 36 148 94111 3 7.00 2 0 1 0 0 1 0
3007 62 37 169 95014 3 5.00 2 184 1 0 1 1 1
3008 63 37 11 91711 1 0.80 2 102 0 0 0 0 1
3009 55 25 92 94550 1 3.00 3 158 0 0 0 0 1
3010 33 9 74 92120 3 2.60 2 0 0 0 0 1 0
3011 25 1 72 94301 3 0.80 1 0 0 0 0 1 0
3012 55 31 63 95616 3 2.67 1 0 0 0 0 1 0
3013 29 3 172 92373 2 4.50 1 415 0 0 0 1 0
3014 45 21 183 90029 2 1.40 1 0 0 0 0 1 1
3015 60 34 40 91311 1 2.50 3 166 0 0 0 1 0
3016 44 18 68 92673 4 2.90 1 0 0 1 0 0 1
3017 48 23 78 91423 4 3.60 3 0 0 0 0 1 0
3018 57 32 68 90041 2 3.70 1 184 0 0 0 0 0
3019 58 32 49 94005 1 1.40 1 99 0 0 0 1 1
3020 58 33 39 94132 2 2.30 3 0 0 0 0 1 0
3021 44 20 151 95193 1 3.50 1 392 0 0 0 1 0
3022 54 28 159 90245 2 0.50 1 461 0 0 0 1 0
3023 59 33 89 94608 4 1.90 2 0 0 0 0 1 1
3024 63 37 105 92694 4 1.70 3 244 0 0 0 0 1
3025 61 35 78 90840 2 2.00 1 0 0 0 0 1 1
3026 58 32 128 94609 2 2.70 1 344 0 0 0 0 0
3027 44 20 81 90254 4 0.80 1 228 0 0 0 0 1
3028 53 29 50 93305 4 0.10 3 152 0 0 0 1 0
3029 63 39 38 92624 3 0.10 3 178 0 0 0 1 1
3030 41 17 119 94960 2 6.10 1 263 0 1 0 1 0
3031 50 26 110 94509 3 1.80 2 0 0 0 0 1 0
3032 51 25 29 90212 1 1.40 3 102 0 0 0 0 1
3033 47 22 19 94590 1 0.40 3 0 0 0 0 1 0
3034 43 19 130 90630 2 4.70 3 221 1 0 0 0 1
3035 46 21 38 90024 1 2.40 1 130 0 0 0 1 0
3036 50 24 31 95054 1 0.30 3 0 0 0 0 0 0
3037 33 9 14 91320 4 0.70 2 105 0 0 0 1 0
3038 27 2 158 95060 3 0.40 2 0 1 0 1 1 0
3039 34 8 39 92124 4 0.20 1 115 0 0 0 1 0
3040 34 9 141 95616 2 4.90 3 0 1 0 0 0 1
3041 28 2 33 95814 3 1.00 1 167 0 0 0 1 0
3042 29 5 92 95006 2 0.60 1 0 0 0 0 1 0
3043 52 26 78 94301 3 3.00 2 0 0 0 0 0 0
3044 47 22 42 91754 3 2.70 2 0 0 0 0 1 1
3045 41 16 15 94124 2 0.30 2 83 0 0 0 0 0
3046 58 32 48 91768 1 2.80 2 0 0 0 0 1 0
3047 37 12 63 95630 3 2.30 1 0 0 0 0 1 0
3048 57 33 149 95060 1 4.70 1 0 0 1 0 0 0
3049 63 39 49 90275 1 0.80 1 103 0 0 0 1 0
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3051 50 25 58 92131 1 1.30 2 0 0 0 0 1 0
3052 60 35 48 94538 3 1.50 1 0 0 0 0 1 0
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3054 28 4 114 92521 2 0.20 1 0 0 0 0 1 0
3055 45 21 134 92697 4 5.50 2 0 1 0 1 1 1
3056 28 2 111 94305 4 2.30 3 0 0 0 0 1 0
3057 54 29 62 94301 4 3.80 2 149 0 0 0 1 0
3058 42 18 45 95616 1 0.70 1 0 0 1 0 1 0
3059 30 4 113 90064 2 0.20 1 0 0 0 0 1 0
3060 61 36 128 94550 1 2.60 1 0 0 0 0 1 0
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3062 38 13 81 90095 1 4.00 3 206 0 1 0 1 0
3063 39 14 75 92521 1 0.10 2 297 0 0 0 0 1
3064 54 29 21 95841 4 0.10 3 0 0 0 0 0 0
3065 59 33 83 94701 3 4.40 1 0 0 0 0 1 0
3066 39 15 121 92354 1 3.50 1 368 0 1 0 1 0
3067 63 33 40 91320 4 1.67 3 0 0 0 0 1 0
3068 31 5 101 94501 1 2.90 3 170 0 1 0 0 0
3069 56 26 90 92120 2 4.50 3 0 0 0 0 0 0
3070 47 20 68 91320 1 2.67 2 0 0 0 0 1 1
3071 28 3 74 91330 2 1.80 2 221 0 1 0 0 0
3072 32 8 74 93023 4 0.10 2 257 0 0 0 0 1
3073 54 30 51 92821 2 3.20 3 0 0 0 0 0 0
3074 29 5 149 94611 1 1.50 1 0 0 0 0 1 0
3075 39 15 31 95039 1 1.40 3 88 0 0 0 1 1
3076 26 0 85 95616 2 1.60 3 0 0 0 0 0 0
3077 29 -1 62 92672 2 1.75 3 0 0 0 0 0 1
3078 46 21 44 95112 1 0.30 1 110 0 1 0 1 0
3079 38 13 63 92325 3 0.50 3 190 0 1 1 1 1
3080 55 31 23 95616 2 0.30 1 0 0 0 0 1 1
3081 48 22 40 94063 3 2.20 2 87 0 0 0 1 0
3082 36 10 78 95064 2 4.50 3 204 0 0 0 1 1
3083 39 13 40 92122 3 0.90 3 129 0 0 0 1 0
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3085 26 0 129 90028 3 0.70 2 0 1 0 0 0 0
3086 55 29 71 91311 3 0.30 2 0 0 0 0 0 1
3087 61 35 23 94720 3 0.30 3 0 0 0 0 1 0
3088 57 33 15 94303 2 0.30 1 0 0 0 0 1 0
3089 56 31 28 94720 1 1.30 1 138 0 0 0 0 1
3090 31 5 23 94110 3 1.00 1 95 0 0 0 0 0
3091 61 31 19 91109 1 1.50 3 0 0 0 0 1 0
3092 58 32 42 95020 3 1.40 3 158 0 0 0 0 1
3093 43 18 113 90036 2 0.40 1 325 0 1 0 0 0
3094 29 5 34 90717 4 0.40 2 0 0 0 0 0 1
3095 50 23 19 90272 1 0.50 2 104 0 0 0 0 1
3096 49 25 43 94109 1 1.60 2 0 0 0 0 1 1
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3098 58 32 44 92182 3 2.20 3 0 0 0 0 0 0
3099 41 16 21 92024 2 0.10 2 0 0 0 0 0 0
3100 65 40 115 92647 1 2.50 1 174 0 0 0 0 1
3101 52 27 81 90024 4 3.80 2 0 0 0 0 0 1
3102 55 31 91 93555 2 2.80 1 0 0 0 0 0 0
3103 49 25 30 90095 4 0.90 2 0 0 0 0 0 1
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3106 30 4 23 94122 4 0.30 2 121 0 0 0 0 0
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3108 41 17 55 92374 2 1.70 1 0 0 0 0 0 0
3109 42 15 21 95678 3 1.00 2 0 0 0 0 1 0
3110 60 34 40 93940 3 2.20 3 0 0 1 0 1 0
3111 44 20 30 95020 4 0.30 1 0 0 0 0 0 1
3112 34 9 78 90095 3 0.60 2 0 0 0 0 1 0
3113 56 32 65 92677 2 3.20 3 0 0 0 0 1 0
3114 31 5 50 91330 4 2.10 3 209 0 0 0 1 0
3115 29 4 55 90024 4 2.00 2 0 0 1 0 1 0
3116 31 5 111 94305 2 0.20 1 0 0 0 0 0 0
3117 36 10 21 92008 3 0.10 2 0 0 0 0 0 1
3118 42 16 65 92614 3 0.50 3 256 0 0 0 1 0
3119 64 39 114 90095 1 0.80 3 0 0 0 0 1 0
3120 61 36 54 91320 3 0.90 3 179 0 0 0 1 0
3121 35 11 75 94542 2 1.70 2 0 0 0 0 1 0
3122 28 2 13 91791 4 0.40 1 0 0 0 0 0 1
3123 38 14 54 90095 2 0.60 3 218 0 0 0 0 0
3124 44 17 22 94546 3 1.00 2 126 0 0 0 1 1
3125 45 20 198 95053 2 2.80 1 0 0 0 0 1 1
3126 46 20 18 92521 1 0.20 1 0 0 0 0 1 1
3127 57 32 74 92780 4 0.70 1 0 0 0 0 0 1
3128 40 14 61 94539 4 0.20 3 0 0 0 0 1 0
3129 38 12 64 94115 2 1.80 1 0 0 0 0 0 0
3130 39 14 10 92705 2 0.30 2 0 0 1 0 0 1
3131 23 -2 82 92152 2 1.80 2 0 0 1 0 0 1
3132 47 22 61 94025 3 2.70 2 168 0 0 0 1 1
3133 32 7 83 94302 2 2.50 1 148 0 1 0 1 0
3134 30 5 73 93711 3 2.60 3 0 0 0 0 1 0
3135 54 30 22 95060 2 0.40 1 89 0 0 0 1 0
3136 25 0 91 95039 2 1.80 2 321 0 0 0 0 0
3137 60 34 65 95354 3 2.20 3 94 0 1 1 0 1
3138 61 36 13 91711 3 0.50 1 0 0 0 0 1 0
3139 36 11 103 93555 1 4.60 1 255 0 0 0 1 0
3140 52 26 95 92130 1 0.30 1 0 0 0 0 1 0
3141 33 7 31 94303 4 1.00 1 0 0 0 0 1 1
3142 57 31 131 90405 3 0.60 1 0 1 0 0 1 0
3143 34 8 175 95051 4 1.10 3 0 1 1 1 1 1
3144 50 24 38 91105 4 0.10 1 0 0 0 0 1 0
3145 43 18 104 91711 3 1.00 1 0 0 0 0 1 0
3146 34 10 114 94305 3 3.30 3 0 1 0 0 0 0
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3149 48 22 19 95616 2 0.10 3 106 0 0 0 0 0
3150 49 25 25 95192 4 1.00 1 0 0 0 0 1 1
3151 47 22 124 90027 4 5.00 3 0 1 0 0 0 0
3152 43 19 20 94110 3 0.50 1 0 0 0 0 0 0
3153 40 15 83 90275 1 1.00 3 0 0 0 0 0 0
3154 31 5 18 94111 4 0.30 2 0 0 0 0 0 1
3155 27 1 99 94305 1 3.00 3 149 1 0 0 0 1
3156 55 29 62 92626 3 0.30 2 0 0 0 0 1 0
3157 54 30 24 92647 1 0.10 2 0 0 0 0 0 0
3158 23 -1 13 94720 4 1.00 1 84 0 0 0 1 0
3159 54 28 64 90095 2 0.80 3 0 0 1 0 1 0
3160 57 33 62 92831 3 2.67 1 240 0 0 0 0 0
3161 41 15 158 94304 1 4.70 2 0 1 1 1 0 1
3162 28 4 88 94024 1 5.40 1 0 0 0 0 1 0
3163 33 7 28 94109 4 0.80 1 0 0 0 0 1 0
3164 51 27 52 94132 2 1.00 3 0 0 0 0 0 0
3165 28 4 82 95136 4 0.00 1 0 0 0 0 1 1
3166 63 37 140 91711 2 6.90 1 97 0 0 0 0 1
3167 29 4 80 90028 1 0.80 2 0 0 0 0 1 1
3168 62 38 58 94720 4 1.20 2 228 0 0 0 0 1
3169 51 25 180 94701 1 1.70 1 0 0 0 0 1 0
3170 52 28 55 94608 1 1.60 2 227 0 0 0 0 0
3171 43 16 65 94110 3 2.67 2 100 0 0 0 0 0
3172 39 12 62 91910 3 2.33 2 0 0 0 0 0 0
3173 35 9 23 95670 4 0.30 1 0 0 0 0 0 0
3174 34 10 35 94309 1 1.70 1 0 0 0 0 1 0
3175 49 24 35 94701 4 0.20 2 0 0 0 0 0 1
3176 43 18 74 92009 4 0.40 1 0 0 0 0 0 0
3177 48 24 14 91330 3 0.40 1 0 0 0 0 1 0
3178 30 4 83 91007 2 1.50 3 199 0 0 0 0 1
3179 46 21 71 95814 4 1.90 3 0 0 0 0 0 0
3180 43 17 53 90245 2 0.70 1 130 0 1 0 1 0
3181 27 3 103 92121 2 0.60 1 84 0 0 0 0 0
3182 39 15 109 95827 1 1.70 1 0 0 0 0 1 0
3183 58 33 60 94304 2 1.90 2 94 0 1 0 1 0
3184 44 17 12 94542 3 0.67 2 0 0 0 0 1 0
3185 39 15 141 92354 2 8.00 1 0 0 0 0 1 0
3186 35 10 128 92843 1 3.80 1 0 0 0 0 1 0
3187 41 16 98 95192 3 1.00 1 296 0 0 0 0 0
3188 43 18 41 94035 1 0.50 3 0 0 0 0 0 0
3189 55 25 90 90717 2 4.50 3 0 0 0 0 0 1
3190 32 6 31 92675 1 0.30 1 0 0 0 0 0 0
3191 56 26 74 91335 1 3.00 3 0 0 0 0 0 0
3192 30 5 83 93101 4 1.80 3 0 0 0 0 0 1
3193 65 39 35 94005 1 0.50 3 0 0 0 0 0 0
3194 31 7 140 95616 1 4.00 1 0 0 0 0 0 1
3195 41 15 65 90019 3 0.50 3 0 0 0 0 0 0
3196 55 29 35 90007 3 1.40 1 0 0 0 0 0 0
3197 37 7 73 94043 4 1.80 3 0 0 0 0 1 1
3198 34 10 29 93555 1 1.50 2 0 0 0 0 1 0
3199 34 9 55 92122 4 2.00 2 147 0 0 0 0 1
3200 33 9 20 95521 4 0.70 2 0 0 0 0 1 0
3201 48 23 70 92122 1 2.80 2 0 0 0 0 0 0
3202 28 3 81 92121 4 0.20 1 0 0 0 0 0 0
3203 30 4 25 92173 2 0.30 1 0 0 1 0 1 0
3204 44 20 119 92677 2 7.50 1 239 0 0 0 1 0
3205 61 35 49 90095 4 1.70 2 185 0 0 0 0 0
3206 59 33 38 92407 1 1.40 1 0 0 0 0 1 1
3207 33 7 80 91103 2 1.50 3 0 0 0 0 1 1
3208 56 32 84 93407 1 4.30 1 0 0 0 0 1 1
3209 53 29 61 95032 4 1.60 2 0 0 0 0 1 0
3210 42 16 173 91355 2 1.50 2 373 1 0 1 1 1
3211 43 19 60 94301 2 2.50 1 0 0 1 0 0 0
3212 35 9 83 90277 2 4.50 3 0 0 0 0 1 0
3213 61 35 59 92697 1 2.80 2 0 0 0 0 0 0
3214 39 9 32 90212 3 2.00 3 116 0 0 0 1 0
3215 61 37 33 91775 3 0.10 3 0 0 0 0 1 0
3216 40 15 19 90630 4 0.20 3 0 0 0 0 1 0
3217 34 8 14 95014 4 0.30 1 0 0 0 0 0 0
3218 65 39 94 93022 4 4.10 1 120 1 0 1 1 1
3219 40 16 154 94122 2 6.10 1 325 0 0 0 1 0
3220 39 15 33 92346 1 2.00 2 0 0 0 0 0 0
3221 61 35 28 93302 2 0.20 3 135 0 0 0 1 0
3222 40 16 44 93407 1 1.80 1 0 0 1 0 1 0
3223 49 23 81 93107 2 0.80 3 0 0 0 0 0 0
3224 43 18 29 95126 1 0.50 3 0 0 0 0 1 0
3225 45 21 58 94025 3 0.30 3 0 0 1 0 1 0
3226 52 28 38 95064 4 0.90 2 0 0 0 0 0 1
3227 32 8 82 93943 3 1.50 1 0 0 0 0 1 1
3228 31 7 18 94720 1 0.40 3 0 0 0 0 1 0
3229 27 2 45 94305 2 1.70 2 0 0 0 0 0 1
3230 33 9 64 92507 4 3.40 1 0 0 0 0 0 0
3231 65 40 48 94708 3 2.40 1 0 0 0 0 0 1
3232 62 37 24 90717 1 0.30 3 0 0 1 0 1 0
3233 55 25 65 92093 4 2.00 3 0 0 0 0 1 0
3234 46 20 111 95037 1 0.00 1 329 0 0 0 0 0
3235 37 12 114 91107 3 0.60 2 0 0 0 0 1 0
3236 60 35 39 91711 2 1.60 3 0 0 0 0 1 0
3237 44 14 19 94112 1 0.75 3 0 0 0 0 0 1
3238 35 9 22 94085 3 0.10 2 0 0 0 1 1 1
3239 52 28 49 94928 4 1.10 2 0 0 0 0 1 0
3240 30 4 40 90095 1 0.30 1 0 0 0 0 1 0
3241 62 36 63 93407 1 1.60 1 118 0 0 0 1 0
3242 41 15 55 94305 1 2.80 1 0 0 0 0 0 0
3243 38 14 33 92096 1 2.00 2 0 0 0 0 1 0
3244 52 26 31 92054 4 1.50 3 0 0 0 0 1 0
3245 48 24 24 92624 4 0.20 1 0 0 0 0 1 0
3246 47 22 81 90009 4 3.60 3 0 0 0 0 1 1
3247 41 17 81 95422 1 0.80 2 223 0 0 0 1 0
3248 44 20 113 95032 2 3.30 1 0 0 0 0 1 1
3249 31 6 92 92037 2 3.30 1 0 0 0 0 0 0
3250 50 25 81 92806 1 1.20 1 0 0 0 0 0 0
3251 36 11 101 90212 3 1.20 3 0 0 1 0 0 1
3252 52 26 78 90720 3 3.00 2 0 0 0 0 0 1
3253 62 38 78 92521 2 0.00 3 0 0 0 0 1 0
3254 55 30 35 94025 1 1.50 2 118 0 0 0 0 1
3255 61 37 9 93907 2 0.30 3 0 0 0 0 1 0
3256 34 7 82 95741 4 2.00 2 0 0 0 0 1 1
3257 34 9 41 94305 1 2.50 3 0 0 0 0 0 0
3258 59 35 84 92407 1 1.80 3 0 0 0 0 1 0
3259 41 17 42 91910 4 2.20 2 185 0 1 0 1 0
3260 33 8 54 92251 3 2.30 1 0 0 0 0 0 1
3261 55 30 84 95821 2 0.00 3 0 0 0 0 0 0
3262 64 40 131 91103 1 3.80 1 0 0 0 0 0 0
3263 44 19 85 90024 2 3.80 3 0 0 0 0 1 0
3264 32 8 84 92093 4 3.40 1 0 0 0 0 1 0
3265 67 41 114 95616 4 2.40 3 0 0 0 0 1 0
3266 40 14 61 94612 3 0.50 3 0 0 0 0 1 0
3267 57 31 39 92821 1 2.20 3 0 0 0 0 1 1
3268 59 35 21 95818 2 1.00 1 120 0 0 0 1 0
3269 43 17 111 91423 4 5.40 3 0 1 0 0 1 0
3270 58 34 68 94305 2 2.80 1 113 0 0 0 0 0
3271 50 23 179 94609 4 3.60 2 0 1 0 0 1 0
3272 52 27 93 90291 4 4.10 2 0 1 0 0 0 1
3273 35 9 85 92121 2 1.80 1 0 0 0 0 0 0
3274 40 15 180 90095 1 4.10 1 0 0 0 0 0 0
3275 31 5 110 92123 2 1.50 3 0 0 0 0 1 0
3276 32 8 65 95134 1 1.20 1 268 0 0 0 1 0
3277 55 31 159 92123 1 3.90 3 0 1 0 0 0 0
3278 43 19 81 92121 2 3.20 1 0 0 0 0 1 0
3279 31 6 132 94571 1 3.80 1 0 0 0 0 1 0
3280 26 -1 44 94901 1 2.00 2 0 0 0 0 0 0
3281 58 33 98 90277 1 2.60 1 0 0 0 0 0 0
3282 51 25 62 95014 2 1.50 2 0 0 0 0 1 1
3283 45 21 91 95054 1 4.70 1 0 0 0 0 1 0
3284 56 30 29 92152 4 0.70 2 87 0 0 0 1 0
3285 25 -1 101 95819 4 2.10 3 0 0 0 0 0 1
3286 38 13 65 91706 3 0.70 2 0 0 0 0 1 0
3287 62 36 58 95020 1 2.80 2 0 0 0 0 0 1
3288 39 13 32 90747 2 0.80 3 0 0 0 0 1 0
3289 56 30 140 94122 4 0.50 1 292 1 0 0 0 0
3290 50 25 44 94303 1 0.30 1 187 0 0 0 1 1
3291 52 27 113 92038 1 0.10 3 0 0 0 0 0 0
3292 53 28 38 94998 1 1.30 2 0 0 0 0 1 0
3293 25 -1 13 95616 4 0.40 1 0 0 1 0 0 0
3294 44 20 62 94939 2 2.50 1 0 0 1 0 1 0
3295 42 12 29 93611 3 2.00 3 0 0 0 0 0 0
3296 42 16 141 94960 3 4.00 2 0 1 0 0 0 0
3297 63 37 132 94080 1 4.40 2 0 1 0 0 1 0
3298 57 32 23 93407 1 0.30 3 0 0 0 0 1 1
3299 56 32 11 94110 2 0.30 1 89 0 0 0 0 0
3300 60 34 90 92192 4 1.90 2 0 0 0 0 1 0
3301 62 38 43 92354 1 1.90 2 0 0 0 0 1 0
3302 48 22 59 90086 4 2.60 1 0 0 0 0 1 1
3303 37 11 28 94501 2 0.80 3 0 0 0 0 0 0
3304 55 29 28 94539 2 0.70 2 82 0 0 0 1 1
3305 42 17 108 95120 3 1.00 1 383 0 0 0 1 0
3306 39 13 78 95616 1 2.80 3 0 0 0 0 0 0
3307 47 22 65 90840 1 2.40 1 0 0 0 0 1 0
3308 34 10 25 92038 4 1.00 1 0 0 0 0 1 0
3309 48 23 108 92120 2 3.80 3 0 0 0 0 0 1
3310 52 27 43 94611 4 0.20 2 0 0 0 0 1 0
3311 53 29 95 94720 4 1.00 2 0 0 0 0 1 1
3312 49 25 24 95819 1 0.30 1 0 0 0 0 0 0
3313 47 22 190 94550 2 8.80 1 0 0 0 0 0 0
3314 48 24 24 91950 1 0.90 3 0 0 0 0 0 0
3315 38 13 41 90073 4 1.70 1 0 0 0 0 1 0
3316 48 22 80 94720 3 1.10 1 0 0 0 0 0 0
3317 56 26 63 94501 3 2.00 3 0 0 0 0 1 0
3318 65 41 79 90035 3 2.00 3 0 0 0 0 0 0
3319 46 20 105 90089 4 3.20 1 0 1 0 0 0 0
3320 60 35 153 95136 3 2.00 3 0 1 0 0 0 1
3321 50 25 114 92104 1 0.60 1 0 0 0 0 0 1
3322 41 15 120 94521 1 5.20 1 0 0 0 0 1 0
3323 41 16 104 92008 1 4.00 3 0 0 0 1 1 1
3324 60 35 20 92110 1 1.30 1 0 0 0 0 1 0
3325 57 31 41 91401 1 1.40 1 0 0 1 0 1 0
3326 48 23 35 93302 2 1.30 1 0 0 0 0 0 0
3327 53 27 174 91006 1 2.90 2 0 1 0 0 1 0
3328 42 18 164 93407 1 1.30 3 0 1 1 1 1 1
3329 45 20 22 90230 1 0.10 1 0 0 0 0 0 0
3330 35 10 132 94123 1 3.80 1 82 0 0 0 0 1
3331 34 9 32 95054 4 1.10 3 0 0 0 0 1 0
3332 67 42 21 94607 3 0.10 3 0 0 0 0 0 1
3333 36 9 49 94402 2 1.67 2 0 0 0 0 0 1
3334 37 13 79 91711 4 0.10 2 280 0 0 0 1 0
3335 40 14 30 94720 2 0.80 3 86 0 0 0 0 0
3336 35 10 118 92069 2 7.80 1 358 0 0 0 0 0
3337 60 34 11 94305 4 0.70 3 0 0 0 0 1 0
3338 59 29 61 92008 3 2.00 3 0 0 0 0 1 0
3339 35 9 43 92037 4 1.20 2 0 0 1 0 1 0
3340 27 1 141 95135 4 5.10 3 354 1 0 0 0 0
3341 29 3 54 94104 4 1.80 3 0 0 0 0 0 0
3342 35 9 33 91125 2 0.30 1 0 0 1 0 1 0
3343 38 13 84 91330 3 1.20 3 121 0 0 0 1 1
3344 62 37 125 94801 1 1.00 3 0 1 0 0 1 0
3345 43 19 110 90639 1 3.40 1 0 0 0 0 0 1
3346 35 11 14 94720 4 1.00 1 0 0 0 1 1 1
3347 41 15 65 92037 2 2.80 1 0 0 0 0 1 1
3348 65 41 78 92109 3 2.00 3 0 0 0 1 1 1
3349 61 35 18 94303 3 0.30 3 0 0 0 0 0 0
3350 55 25 95 92407 2 4.50 3 275 0 0 0 0 0
3351 28 3 95 90245 2 1.80 2 0 0 0 0 0 0
3352 52 26 191 92121 1 1.70 1 0 0 0 0 1 0
3353 34 4 19 92521 1 0.67 3 83 0 0 0 1 0
3354 49 23 19 94521 4 0.60 3 0 0 0 0 1 1
3355 42 18 39 92703 1 0.30 3 0 0 0 0 1 0
3356 49 23 93 90036 1 2.40 1 0 0 0 0 1 1
3357 49 23 115 95051 3 4.60 3 0 1 0 0 0 0
3358 32 6 112 94111 1 2.70 2 408 0 1 1 1 1
3359 59 35 40 94536 4 0.40 1 0 0 0 0 0 0
3360 43 19 45 91773 3 0.60 2 0 0 0 0 0 0
3361 48 24 133 90740 1 5.00 1 0 0 0 0 0 0
3362 31 5 85 94117 3 1.60 1 87 0 0 0 1 1
3363 30 4 18 90277 2 0.30 2 0 0 0 0 1 0
3364 58 34 54 93003 4 1.30 2 0 0 0 0 1 0
3365 41 15 41 94143 2 2.40 2 105 0 0 0 0 0
3366 38 8 21 95060 1 0.67 3 0 0 0 0 1 0
3367 33 9 152 90024 1 6.00 1 0 0 0 0 1 1
3368 51 27 53 92122 1 1.60 2 0 0 0 0 1 0
3369 45 18 163 94720 3 5.33 2 0 1 0 1 0 1
3370 34 10 84 95616 4 0.10 2 0 0 0 0 1 0
3371 39 13 59 90033 3 0.90 3 199 0 1 0 1 0
3372 44 18 33 95351 3 0.50 2 0 0 0 0 0 0
3373 55 29 81 94928 4 4.90 1 209 0 0 0 1 0
3374 28 2 182 92660 3 7.20 2 442 1 0 1 1 1
3375 57 31 61 91360 1 2.20 3 0 0 0 0 0 0
3376 43 18 88 90089 4 1.10 2 0 0 0 0 1 0
3377 46 21 170 95136 2 2.80 1 0 0 0 0 0 0
3378 35 10 83 95370 4 0.70 3 315 0 0 0 1 0
3379 25 0 44 94536 4 0.60 2 0 0 0 0 0 1
3380 65 41 83 94305 3 2.00 3 0 0 0 0 1 0
3381 64 38 21 95422 1 0.80 2 76 0 0 0 0 1
3382 39 15 143 91711 1 3.50 1 0 0 0 0 1 1
3383 62 36 103 92182 2 2.80 1 0 0 1 1 1 0
3384 46 22 135 95135 3 4.10 1 213 1 0 0 1 0
3385 36 11 162 94583 1 8.60 1 153 0 1 0 1 0
3386 42 17 73 90089 4 0.40 1 0 0 1 0 0 0
3387 35 10 142 94061 4 0.80 3 0 1 0 0 0 0
3388 63 37 25 94035 2 0.20 3 0 0 0 0 1 0
3389 45 21 115 91320 2 3.30 1 85 0 0 0 1 0
3390 27 3 88 92182 3 0.80 1 238 0 0 0 0 0
3391 29 3 73 94720 3 0.30 3 0 0 0 0 0 0
3392 55 29 94 94109 1 0.80 3 221 0 0 0 0 0
3393 32 7 58 92612 1 1.00 1 0 0 0 0 1 0
3394 37 11 81 95123 3 0.90 2 0 0 0 0 1 1
3395 25 -1 113 90089 4 2.10 3 0 0 0 0 1 0
3396 41 16 35 94061 2 1.40 2 135 0 0 0 0 0
3397 52 28 65 93106 1 0.00 1 0 0 0 0 1 1
3398 31 6 170 94010 2 6.70 1 137 0 0 0 1 0
3399 40 14 62 92028 2 2.40 2 0 0 0 0 1 1
3400 54 29 54 94720 2 2.10 3 97 0 0 0 0 0
3401 48 22 39 94065 1 1.20 2 0 0 0 0 0 0
3402 39 15 28 95818 1 1.40 3 118 0 0 0 1 1
3403 64 40 95 90095 2 0.00 3 0 0 0 0 1 1
3404 54 29 82 94709 3 3.70 2 0 1 0 0 1 0
3405 39 14 21 94303 1 0.60 3 101 0 0 0 0 0
3406 55 30 50 94061 2 2.10 3 0 0 0 0 1 0
3407 42 12 34 92177 3 2.00 3 0 0 0 0 0 1
3408 58 32 19 90405 4 0.70 3 0 0 0 0 0 0
3409 45 21 71 90029 4 1.90 1 0 0 0 0 1 0
3410 29 5 113 95351 2 2.00 2 84 0 0 0 1 1
3411 36 11 9 90230 4 0.20 3 0 0 0 0 1 0
3412 63 37 118 94010 1 2.00 1 427 0 0 0 0 0
3413 55 29 79 90029 4 4.90 1 0 0 0 0 0 0
3414 54 24 72 95123 3 1.40 3 0 0 0 0 0 1
3415 61 36 18 95010 1 1.30 1 0 0 0 0 0 0
3416 36 12 93 90720 2 2.20 1 0 0 0 0 1 1
3417 61 37 62 94111 1 0.00 2 244 0 0 0 1 0
3418 39 12 23 90024 3 1.00 2 0 0 0 0 1 1
3419 57 31 40 91775 3 1.40 3 0 0 0 1 1 1
3420 35 10 34 95503 4 1.70 1 87 0 0 0 1 1
3421 66 41 114 94305 1 0.80 3 0 0 0 0 1 1
3422 49 23 125 90245 1 2.40 1 0 0 0 0 0 1
3423 48 23 41 92677 1 1.40 3 0 0 0 0 0 1
3424 61 35 38 93009 2 1.00 3 0 0 0 0 0 0
3425 44 19 45 94539 4 0.00 2 0 0 0 0 1 1
3426 23 -1 12 91605 4 1.00 1 90 0 0 0 1 0
3427 31 5 115 90025 2 1.50 3 189 0 0 0 1 0
3428 39 15 175 94080 2 8.00 1 0 0 0 0 1 0
3429 45 21 24 93106 1 0.90 3 0 0 0 0 0 0
3430 39 14 28 91320 2 1.40 2 108 0 0 0 0 1
3431 64 38 32 90291 2 0.30 1 0 0 0 0 1 1
3432 64 38 63 94305 2 1.70 3 184 0 1 0 1 0
3433 47 23 32 95370 1 1.00 1 0 0 0 0 0 1
3434 34 9 60 94306 4 1.30 1 0 0 1 0 0 0
3435 56 31 53 95521 2 1.60 3 78 0 0 0 0 0
3436 33 8 58 92037 4 1.30 1 0 0 1 0 0 0
3437 56 29 42 92104 4 2.50 2 0 0 0 0 0 0
3438 57 31 39 94304 4 0.70 2 0 0 1 0 1 0
3439 43 17 72 94806 1 2.80 1 271 0 0 0 1 0
3440 43 17 80 95020 3 0.10 1 0 0 0 1 1 1
3441 26 1 39 95133 4 0.60 2 0 0 0 0 0 1
3442 64 40 18 94309 2 0.30 3 0 0 1 1 1 1
3443 43 18 30 93940 1 0.50 3 0 0 0 0 1 0
3444 44 18 54 90639 1 2.80 1 202 0 0 0 0 0
3445 60 35 128 93101 1 0.90 1 0 0 0 0 1 0
3446 37 13 38 94701 1 1.50 2 116 0 0 0 0 1
3447 56 32 120 90232 1 7.40 1 186 0 0 0 1 0
3448 54 29 25 90747 4 0.10 3 109 0 0 0 0 0
3449 43 18 85 92606 4 1.90 3 110 0 0 0 1 1
3450 57 32 135 90095 3 4.80 2 0 1 1 1 1 0
3451 29 4 14 94590 4 0.50 3 0 0 0 0 0 1
3452 54 30 70 92182 1 1.60 3 251 0 0 0 1 1
3453 61 37 23 94720 3 0.40 2 0 0 0 0 0 0
3454 29 3 31 94709 4 0.30 2 0 0 0 0 1 0
3455 47 21 132 92120 1 0.30 1 0 0 0 0 1 0
3456 43 19 28 93010 3 0.50 1 0 0 0 0 1 1
3457 46 22 125 94536 2 4.70 3 0 1 0 0 1 0
3458 55 31 91 94110 2 2.80 1 0 0 0 0 1 0
3459 48 23 191 95053 2 2.80 1 231 0 0 0 0 1
3460 26 1 88 94025 2 1.80 2 0 0 0 0 0 0
3461 63 37 84 92691 4 2.40 3 0 0 0 0 1 1
3462 57 27 64 92007 3 2.00 3 142 0 0 0 1 0
3463 58 33 28 94608 2 0.50 2 146 0 1 0 1 0
3464 28 3 149 92121 1 0.80 1 0 0 0 0 1 0
3465 61 37 172 92612 4 4.25 1 0 1 0 1 1 1
3466 65 41 42 95616 1 1.90 2 0 0 0 0 0 0
3467 33 6 53 94122 2 1.00 2 96 0 0 0 0 1
3468 63 37 149 90840 2 0.20 3 364 1 0 0 1 0
3469 43 19 113 93933 2 1.80 2 0 0 0 0 0 1
3470 26 2 79 95630 2 2.50 1 0 0 0 0 1 0
3471 57 31 175 90503 2 0.50 1 429 0 0 0 1 1
3472 50 25 38 95503 1 1.40 3 0 0 0 0 1 0
3473 54 27 120 92672 4 3.00 2 431 1 0 0 1 0
3474 59 34 52 92173 4 0.70 1 0 0 1 0 0 0
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3476 54 30 13 92037 1 0.30 1 0 0 0 0 0 0
3477 65 39 141 90280 2 6.90 1 0 0 1 0 1 0
3478 34 10 131 94024 2 4.33 1 156 0 0 0 1 1
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3480 31 6 64 94720 2 2.50 1 0 0 0 0 1 0
3481 64 39 49 94591 2 1.50 1 0 0 1 0 1 0
3482 52 26 34 93023 1 0.30 3 0 0 0 0 1 0
3483 57 33 91 95133 1 4.30 1 81 0 1 0 0 0
3484 60 36 195 90066 1 4.70 1 0 0 0 0 1 0
3485 45 18 53 92104 3 2.50 2 112 0 0 0 0 0
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3487 25 1 20 92806 4 1.00 1 0 0 0 0 0 1
3488 29 4 104 91711 4 1.80 3 0 0 0 0 0 1
3489 40 15 51 94117 2 1.10 2 131 0 0 0 1 0
3490 36 12 154 91320 3 6.40 1 0 1 1 0 0 0
3491 33 9 38 95814 1 1.33 1 115 0 0 0 0 0
3492 51 27 12 92697 2 0.40 1 0 0 0 0 0 1
3493 35 9 28 94546 1 0.60 3 0 0 0 0 0 1
3494 54 28 33 94710 2 0.40 3 0 0 0 0 1 0
3495 29 2 31 91330 4 1.50 2 0 0 0 0 0 0
3496 32 8 44 91401 1 1.80 2 192 0 0 0 1 0
3497 37 13 49 91711 4 2.00 3 192 0 0 0 0 0
3498 55 31 134 92130 2 0.30 1 0 0 0 0 0 0
3499 30 6 182 93561 4 0.80 3 94 1 0 0 1 0
3500 49 23 114 94550 1 0.30 1 286 0 0 0 1 0
3501 51 26 90 94110 1 2.80 2 0 0 0 0 1 1
3502 65 39 105 91380 4 1.70 3 0 0 1 0 1 0
3503 32 8 58 95616 3 2.00 1 90 0 0 0 1 0
3504 29 3 53 95814 4 2.10 3 0 0 0 0 1 0
3505 46 20 15 95370 4 0.60 3 0 0 1 0 1 0
3506 64 39 103 90304 1 0.80 3 0 0 0 0 1 1
3507 27 1 58 95827 4 1.80 2 154 0 0 1 1 1
3508 50 23 83 91791 1 2.67 2 0 0 0 1 1 1
3509 33 9 125 92182 1 4.30 3 0 1 0 0 1 0
3510 38 12 61 91330 3 0.90 3 0 0 0 0 0 0
3511 38 11 69 92124 3 2.33 2 0 0 0 0 0 0
3512 37 11 89 94609 1 1.50 3 0 0 0 0 1 0
3513 46 20 70 90405 4 2.90 1 0 0 0 0 0 1
3514 31 4 39 94501 2 1.00 2 0 0 0 0 0 0
3515 35 9 41 90024 4 1.20 2 0 0 0 0 1 0
3516 50 26 148 94143 2 0.40 1 508 0 0 0 0 0
3517 45 21 38 93943 3 0.60 2 148 0 0 0 1 0
3518 30 6 95 94234 1 3.90 3 146 1 0 0 0 1
3519 60 36 129 95039 2 6.00 1 0 0 0 0 0 0
3520 31 5 84 94720 4 1.80 2 0 0 1 0 1 0
3521 60 35 29 92126 3 1.30 2 0 0 0 0 0 0
3522 36 10 30 91711 2 0.80 3 0 0 0 0 1 0
3523 64 40 90 94028 2 0.00 3 134 0 0 0 0 0
3524 29 4 150 91302 1 0.80 1 0 0 0 0 0 1
3525 58 33 15 94583 4 0.90 2 0 0 0 0 0 0
3526 59 34 13 96651 4 0.90 2 0 0 0 0 0 0
3527 58 33 9 95008 2 0.20 3 0 0 0 0 1 0
3528 35 10 24 95054 4 1.10 3 0 0 0 0 0 0
3529 43 17 41 90210 3 2.20 2 0 0 0 0 1 0
3530 33 7 25 94132 4 1.00 1 0 0 0 0 1 1
3531 54 28 49 90073 4 2.80 2 0 0 1 0 0 0
3532 38 12 58 94542 3 0.90 3 128 0 0 0 0 1
3533 38 12 141 94022 2 0.00 1 0 0 0 0 1 1
3534 57 32 50 94545 4 2.10 1 211 0 0 0 0 0
3535 34 10 61 95006 3 2.00 1 0 0 0 0 0 1
3536 52 27 65 92104 1 1.20 1 0 0 0 0 1 1
3537 50 24 112 94005 1 0.30 1 229 0 0 0 0 0
3538 60 34 19 92093 3 0.30 3 0 0 0 0 1 0
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3540 56 30 60 91380 1 2.20 3 0 0 0 0 0 0
3541 39 15 30 94305 4 0.30 1 0 0 1 0 0 1
3542 45 20 144 92106 4 5.40 1 210 1 0 0 1 0
3543 30 5 118 92182 4 3.00 3 0 1 0 0 1 0
3544 37 11 194 94303 2 0.00 1 0 0 0 0 0 0
3545 45 19 109 92037 3 1.10 1 0 0 0 0 0 0
3546 48 22 174 95827 1 2.40 1 0 0 0 0 1 0
3547 65 40 34 94720 1 1.10 3 119 0 0 0 1 1
3548 46 20 84 92354 3 0.70 2 0 0 0 0 1 0
3549 40 16 41 91107 1 2.00 2 0 0 0 0 0 1
3550 33 7 92 90840 3 1.60 1 0 0 0 0 0 0
3551 40 10 19 94609 1 0.75 3 116 0 0 0 0 0
3552 60 35 55 92807 3 0.50 2 172 0 0 0 0 0
3553 51 27 22 93106 4 0.50 2 0 0 0 0 1 1
3554 41 16 155 95070 1 7.00 1 0 0 0 0 0 0
3555 37 13 72 92407 4 2.00 3 0 0 1 0 0 0
3556 35 9 81 91107 1 2.70 2 0 0 0 0 1 0
3557 35 11 30 94303 1 1.70 1 0 0 1 0 0 1
3558 46 20 54 90755 4 2.90 1 189 0 0 0 1 1
3559 60 34 60 94065 3 2.50 1 0 0 0 0 1 0
3560 51 25 68 94065 1 1.50 2 0 0 0 0 0 0
3561 31 5 65 94591 4 2.20 2 126 0 0 0 1 0
3562 30 6 31 94720 3 1.00 2 142 0 0 0 0 0
3563 32 8 169 94596 1 6.50 3 272 1 1 1 1 0
3564 53 27 139 94998 1 0.90 3 0 1 0 0 0 0
3565 33 7 29 94720 1 0.60 3 0 0 0 0 0 0
3566 40 15 43 92120 2 1.10 2 0 0 0 0 0 1
3567 57 33 80 92064 2 2.80 1 0 0 0 0 1 1
3568 51 26 43 91040 1 1.30 2 123 0 0 0 1 0
3569 30 4 194 93407 2 4.50 1 0 0 0 0 0 1
3570 41 15 24 92130 2 0.80 3 0 0 1 0 1 0
3571 54 29 32 91107 2 0.60 3 0 0 0 0 1 1
3572 42 18 153 93955 3 5.60 1 416 1 0 0 0 0
3573 30 6 30 90245 1 0.40 3 0 0 0 0 1 1
3574 60 36 165 90095 3 5.60 1 0 1 0 0 0 1
3575 56 30 64 95123 3 0.30 2 0 0 0 0 0 1
3576 63 38 15 94305 4 0.60 2 83 0 0 0 0 0
3577 56 30 70 90245 3 0.30 2 0 0 0 0 0 0
3578 39 9 32 91016 3 2.00 3 0 0 0 0 1 0
3579 29 5 128 91302 2 4.10 2 209 1 0 0 1 0
3580 28 2 84 94305 1 2.90 3 102 0 1 1 0 1
3581 41 16 62 94553 2 2.20 3 0 0 0 0 1 1
3582 28 4 33 91330 3 1.00 2 0 0 0 0 0 1
3583 49 25 65 92354 1 0.00 1 0 0 0 0 1 0
3584 30 3 33 95112 4 1.50 2 85 0 0 0 0 0
3585 63 37 15 92121 1 0.80 2 115 0 0 0 1 0
3586 45 18 45 92037 3 1.00 2 0 0 0 0 1 0
3587 40 15 132 94131 2 3.90 1 0 0 0 0 1 0
3588 28 4 29 94080 3 0.10 2 0 0 0 0 1 0
3589 62 38 65 91768 1 0.00 2 0 0 0 0 1 0
3590 38 12 52 92807 2 2.40 2 147 0 0 0 0 0
3591 32 7 64 92630 2 0.10 1 0 0 0 0 1 1
3592 58 32 73 94109 2 2.30 3 224 0 0 0 1 1
3593 33 3 20 94704 1 0.67 3 0 0 0 0 0 0
3594 60 34 44 90018 2 0.30 1 192 0 0 0 1 0
3595 34 8 79 95616 1 2.50 1 0 0 0 0 1 0
3596 38 14 104 90025 2 1.80 2 79 0 0 0 0 0
3597 44 20 88 94720 1 4.70 1 0 0 0 0 0 0
3598 56 26 51 92028 3 2.00 3 0 0 0 0 1 0
3599 37 11 61 95120 3 0.90 2 0 0 0 0 0 0
3600 45 19 23 93101 2 0.10 3 91 0 0 1 1 1
3601 44 20 38 90018 2 2.10 3 95 0 0 0 1 0
3602 37 13 75 94305 3 2.60 2 0 0 1 0 0 0
3603 47 21 42 95841 4 0.10 1 0 0 0 0 1 1
3604 51 25 45 92407 4 0.10 1 0 0 0 0 1 1
3605 63 38 59 92612 3 0.50 2 0 0 0 0 1 0
3606 61 31 130 92333 2 2.60 3 0 1 0 0 0 0
3607 43 18 9 96145 2 0.00 3 96 0 0 0 1 1
3608 41 15 62 90401 3 0.90 3 0 0 0 0 0 0
3609 59 35 202 94025 1 4.70 1 553 0 0 0 0 0
3610 29 5 162 94022 1 4.30 1 0 0 0 0 0 1
3611 32 6 93 90029 3 1.60 1 79 0 0 0 1 0
3612 64 39 145 92705 1 0.90 1 0 0 0 0 0 0
3613 50 25 99 90245 1 4.60 1 368 1 1 1 0 1
3614 35 11 148 92672 1 5.80 3 0 1 0 0 1 0
3615 34 10 154 94583 3 5.40 2 0 1 0 0 1 0
3616 58 34 149 95616 2 6.00 1 0 0 0 0 1 1
3617 41 15 69 92507 1 1.50 3 78 0 0 0 1 0
3618 37 11 30 94304 2 0.30 1 146 0 0 0 0 0
3619 35 8 48 92697 2 1.00 2 0 0 0 0 1 0
3620 45 20 42 94703 1 0.30 3 0 0 0 0 1 0
3621 53 29 132 95020 2 0.30 1 403 0 0 0 0 0
3622 53 27 81 91730 3 1.70 2 193 0 0 0 1 0
3623 54 29 60 94901 4 3.80 2 0 0 0 0 1 1
3624 28 3 45 91105 4 1.70 2 95 0 0 0 0 0
3625 58 28 70 92028 1 1.40 3 0 0 0 0 0 0
3626 47 21 71 92037 4 2.90 1 0 0 0 0 1 0
3627 24 -3 28 90089 4 1.00 3 0 0 0 0 0 0
3628 27 1 83 90034 2 0.20 1 0 0 0 0 0 1
3629 42 18 131 94949 1 3.40 1 0 0 0 0 0 1
3630 50 26 82 95051 1 0.00 1 0 0 0 0 1 1
3631 41 16 79 95020 1 4.00 3 225 0 0 0 1 0
3632 46 21 51 90089 4 1.90 3 0 0 0 0 0 0
3633 46 20 111 95307 2 6.30 1 0 0 0 0 0 1
3634 51 25 93 90048 1 0.30 1 0 0 0 0 1 0
3635 59 35 73 90009 4 2.30 3 0 0 0 0 0 0
3636 58 33 24 95616 2 0.50 2 0 0 0 0 1 0
3637 37 11 64 96094 3 0.90 2 0 0 0 0 1 0
3638 39 14 104 94608 3 1.00 1 242 0 0 0 1 0
3639 47 22 38 92866 4 1.90 3 0 0 0 0 1 0
3640 51 26 191 94063 1 8.10 1 0 0 1 0 1 0
3641 64 34 53 95821 4 1.67 3 0 0 0 0 0 1
3642 59 35 74 94402 4 2.30 3 0 0 0 0 0 0
3643 55 29 21 92704 4 0.70 3 0 0 1 0 1 0
3644 57 32 80 92606 3 1.60 3 144 0 0 0 1 1
3645 59 33 41 91711 4 2.50 1 174 0 0 0 0 0
3646 42 17 79 92103 1 3.70 3 0 0 1 0 0 1
3647 34 9 141 92056 3 6.90 2 260 1 0 0 1 0
3648 41 14 32 91605 3 1.00 2 0 0 0 0 0 1
3649 43 13 38 95616 3 2.00 3 0 0 0 0 1 0
3650 53 29 85 92691 3 1.80 2 0 0 0 0 1 0
3651 47 21 93 91604 2 0.80 3 107 0 0 0 0 0
3652 49 23 140 90504 1 1.90 3 0 1 0 0 0 1
3653 35 9 69 94704 4 2.20 2 0 0 0 0 0 1
3654 52 27 32 92521 2 2.00 2 0 0 0 0 0 1
3655 53 28 61 94061 4 0.90 1 177 0 0 0 0 0
3656 48 22 125 90086 1 2.40 1 0 0 0 0 1 0
3657 35 8 30 95014 4 1.00 2 0 0 1 0 0 0
3658 52 26 104 94025 2 2.40 2 0 0 0 0 1 1
3659 60 35 24 92612 1 0.10 1 0 0 0 0 0 0
3660 33 7 22 94002 1 0.40 2 0 0 0 0 0 0
3661 38 12 59 93401 2 2.40 2 0 0 0 0 0 0
3662 29 4 120 94553 1 4.10 2 0 1 1 1 0 1
3663 35 9 164 94305 2 0.00 1 500 0 0 0 0 0
3664 26 2 60 94111 4 1.60 1 0 0 0 1 1 1
3665 48 24 43 91791 3 1.90 2 0 0 0 0 1 0
3666 43 19 70 91711 3 2.33 1 0 0 1 0 0 0
3667 60 35 51 94143 2 2.80 1 0 0 0 0 1 0
3668 27 3 59 94590 4 1.60 1 0 0 0 0 1 0
3669 38 13 129 92037 4 0.30 3 75 1 0 0 1 0
3670 40 15 22 95616 2 1.40 2 0 0 0 0 1 1
3671 38 14 29 94402 4 0.40 2 0 0 0 0 1 0
3672 50 25 18 93106 1 0.40 3 0 0 0 0 1 0
3673 38 13 65 91320 3 0.50 3 0 0 0 0 1 0
3674 34 9 65 95134 4 1.30 1 0 0 0 0 0 1
3675 42 16 38 93437 1 0.20 1 0 0 1 0 0 0
3676 60 34 110 92126 2 2.00 1 0 0 0 0 1 0
3677 62 37 22 95818 1 1.50 2 111 0 0 0 1 0
3678 59 33 43 94234 2 0.30 1 0 0 0 0 0 1
3679 49 25 30 92093 4 0.60 1 0 0 0 0 0 0
3680 49 23 134 90095 2 6.30 1 0 0 0 0 1 0
3681 36 11 32 90064 3 1.30 1 0 0 0 0 0 0
3682 33 9 139 95054 1 4.30 1 0 0 0 0 0 0
3683 43 17 45 95051 2 0.70 1 0 0 0 0 0 0
3684 53 27 62 95070 3 3.00 2 0 0 1 0 0 0
3685 57 31 51 92093 4 1.70 2 103 0 0 0 1 0
3686 53 27 93 94588 1 0.80 3 313 0 0 0 0 0
3687 60 35 122 92521 1 1.30 1 0 0 0 0 0 0
3688 34 10 45 93943 1 1.33 1 0 0 0 0 0 0
3689 51 26 179 90245 1 8.10 1 0 0 1 0 1 0
3690 36 12 64 94708 3 2.80 1 205 0 0 0 0 1
3691 63 39 41 95449 2 1.10 1 0 0 0 0 0 0
3692 37 13 58 95211 2 0.60 3 0 0 0 0 0 1
3693 57 33 64 94132 4 2.20 1 0 0 0 0 1 0
3694 52 27 28 93117 3 1.70 2 0 0 0 0 0 0
3695 38 8 21 92037 1 0.67 3 0 0 0 0 1 0
3696 61 35 60 90272 1 2.80 2 0 0 0 0 1 0
3697 31 5 78 94309 2 0.20 1 0 0 0 0 0 1
3698 39 13 59 95616 3 0.50 3 0 0 0 0 0 0
3699 38 12 59 96001 3 0.50 3 0 0 1 1 1 1
3700 46 22 83 94501 4 1.40 2 0 0 0 0 1 1
3701 48 22 128 94608 1 5.70 1 0 0 1 0 0 0
3702 58 33 95 90503 1 2.60 1 0 0 0 0 1 0
3703 50 25 160 93108 4 4.30 3 410 1 0 0 0 0
3704 67 41 78 94301 4 2.40 3 0 0 1 0 0 0
3705 36 11 184 91304 2 5.10 2 0 1 0 0 0 0
3706 30 4 30 91770 3 1.00 1 0 0 0 0 1 0
3707 58 33 51 94305 2 1.60 3 123 0 0 0 1 0
3708 43 18 35 92647 1 0.60 3 0 0 0 0 0 0
3709 31 1 74 92116 4 4.00 3 0 0 0 0 0 0
3710 37 11 43 92521 4 1.20 2 0 0 1 0 0 0
3711 49 22 23 90032 2 1.00 2 0 0 0 0 1 1
3712 27 1 20 94720 4 0.40 1 99 0 0 0 1 0
3713 50 25 112 92154 1 0.60 1 0 0 0 0 0 0
3714 46 20 74 90064 3 0.70 2 0 0 0 0 1 1
3715 49 23 65 94720 2 0.40 3 232 0 0 0 0 1
3716 29 5 124 92037 2 0.20 1 0 0 0 0 0 1
3717 55 29 65 91773 3 2.50 1 0 0 0 0 0 0
3718 61 37 73 94550 3 2.00 3 285 0 0 0 0 0
3719 45 19 8 92833 2 0.10 3 0 0 0 0 0 1
3720 33 8 53 92126 3 2.30 1 76 0 0 0 1 0
3721 63 39 131 92521 3 2.60 3 229 1 0 0 1 0
3722 32 6 13 91040 4 0.30 1 0 0 1 1 1 1
3723 42 17 60 93118 1 2.40 1 98 0 0 0 1 0
3724 51 27 45 94022 1 1.60 2 82 0 0 0 1 0
3725 44 20 39 93108 2 2.10 3 119 0 0 0 0 0
3726 33 6 78 94305 4 2.00 2 0 0 0 0 0 0
3727 39 13 43 94304 3 0.50 3 0 0 0 0 1 0
3728 56 30 31 94117 2 0.30 1 109 0 1 1 1 1
3729 28 3 118 91902 3 2.40 2 161 1 0 0 0 0
3730 43 17 82 94040 3 0.10 1 0 0 0 0 1 0
3731 30 6 112 92093 3 2.50 1 0 0 0 0 1 0
3732 34 8 10 92867 1 0.40 2 0 0 0 0 1 0
3733 26 1 18 92521 2 0.90 3 95 0 0 0 0 0
3734 58 32 72 94105 3 0.30 2 0 0 0 0 1 0
3735 43 19 72 95193 4 0.20 3 0 0 0 0 1 0
3736 40 14 78 91103 1 5.20 1 0 0 0 0 1 0
3737 54 30 78 96001 3 1.80 2 0 0 0 0 0 0
3738 44 19 30 91423 1 0.50 3 0 0 0 0 1 0
3739 54 28 45 95008 3 1.40 1 0 0 0 0 0 1
3740 39 14 80 90502 2 0.40 1 0 0 0 0 0 0
3741 59 35 174 92660 1 4.70 1 0 0 0 0 1 1
3742 53 29 51 92152 2 3.20 3 0 0 0 0 1 0
3743 32 8 181 94596 1 6.00 1 0 0 0 1 1 1
3744 40 14 78 94720 4 1.40 2 194 0 0 0 1 1
3745 54 29 79 90025 3 1.60 3 0 0 0 0 0 0
3746 27 3 119 90640 1 5.40 1 118 0 0 0 1 0
3747 63 39 49 93943 4 1.20 2 109 0 1 1 1 1
3748 26 0 83 91360 3 3.90 2 0 1 0 0 1 0
3749 33 7 100 94025 1 2.70 2 126 0 0 0 1 0
3750 43 19 70 90095 3 2.33 1 0 0 0 0 1 0
3751 57 32 52 90266 3 0.50 2 0 0 0 0 1 0
3752 26 2 12 94591 4 1.00 1 0 0 0 0 1 0
3753 55 30 82 93003 4 1.30 3 219 0 0 0 0 1
3754 30 4 34 95351 2 0.30 2 0 0 0 0 1 1
3755 63 37 112 93106 4 2.40 3 0 0 0 0 1 1
3756 55 25 42 94115 3 1.00 3 0 0 0 0 1 0
3757 35 11 83 92122 2 2.20 1 0 0 0 0 0 0
3758 45 21 142 91101 1 1.40 2 0 1 0 0 1 0
3759 47 23 199 94720 2 6.67 1 0 0 0 0 1 0
3760 31 4 29 92093 4 1.50 2 121 0 0 0 1 1
3761 56 26 70 91107 3 1.40 3 273 0 0 0 1 1
3762 49 24 25 95831 2 0.70 3 0 0 0 0 1 0
3763 53 27 84 95616 2 1.10 1 0 0 0 0 1 0
3764 62 36 81 95051 3 4.40 1 0 0 0 0 0 1
3765 63 37 15 94720 2 0.40 1 0 0 0 0 0 0
3766 26 0 54 94706 3 0.30 3 0 0 0 0 1 0
3767 59 35 108 90245 4 3.80 2 304 1 0 0 1 0
3768 40 16 83 95819 4 2.67 1 0 0 0 0 1 1
3769 42 16 62 94309 1 0.70 3 170 0 0 1 1 1
3770 29 4 134 90095 2 3.30 1 204 0 0 0 0 0
3771 40 16 75 94306 3 2.33 1 79 0 0 0 0 0
3772 31 7 109 91711 2 2.00 2 341 0 0 0 0 1
3773 35 10 152 94112 2 3.00 1 0 0 0 0 1 0
3774 62 36 83 93940 4 2.40 3 0 0 1 0 0 0
3775 51 26 52 92521 4 1.80 3 0 0 0 0 1 0
3776 32 6 31 90275 2 2.00 3 0 0 0 0 1 1
3777 27 3 135 93108 3 2.70 3 449 1 0 0 0 1
3778 62 37 98 94706 1 0.90 1 151 0 0 0 1 0
3779 66 41 14 95814 4 0.60 2 0 0 0 0 0 0
3780 53 27 64 93407 4 2.60 1 0 0 0 0 1 1
3781 49 25 109 92780 2 6.80 1 0 0 0 0 0 0
3782 65 40 118 94104 1 1.30 1 333 0 0 1 1 1
3783 30 5 80 91311 4 2.20 2 0 0 1 0 1 0
3784 60 34 51 90028 3 1.40 3 0 0 0 0 0 0
3785 30 6 115 94611 4 3.80 2 0 1 0 0 1 0
3786 54 28 83 95841 1 2.40 1 0 0 0 0 1 0
3787 54 28 90 91301 1 0.30 1 0 0 0 0 1 0
3788 37 12 28 95616 4 1.70 1 0 0 1 1 1 0
3789 32 7 82 95616 2 2.50 1 221 0 0 0 1 1
3790 51 27 24 94301 3 0.40 1 0 0 0 0 1 1
3791 46 22 71 92029 2 1.70 1 0 0 0 0 1 1
3792 41 17 80 91330 1 0.30 1 0 0 0 0 0 0
3793 62 36 109 92709 4 1.70 3 0 0 0 0 1 0
3794 54 28 140 91711 1 2.90 1 0 0 0 0 1 0
3795 52 27 39 92612 4 0.20 2 0 0 1 0 1 0
3796 51 25 39 94010 1 1.20 2 98 0 0 0 1 0
3797 24 -2 50 94920 3 2.40 2 0 0 1 0 0 0
3798 61 35 31 92521 2 0.30 1 0 0 0 0 1 0
3799 55 25 35 93943 3 1.00 3 144 0 0 0 1 1
3800 37 11 44 93109 4 0.20 1 0 0 0 0 0 1
3801 64 38 35 93955 1 0.50 3 0 0 0 0 1 0
3802 34 8 20 95616 2 0.30 1 106 0 0 0 1 1
3803 31 7 10 95616 4 0.70 2 0 0 0 0 1 0
3804 42 18 83 96001 4 2.00 3 0 0 0 0 1 0
3805 47 22 203 95842 2 8.80 1 0 0 0 0 1 0
3806 29 5 84 93109 3 0.80 1 0 0 0 0 0 0
3807 34 8 41 92096 4 0.80 1 0 0 0 0 0 0
3808 36 11 164 95051 2 7.80 1 0 0 0 0 1 1
3809 34 10 152 90089 2 6.50 1 0 0 0 0 0 0
3810 26 2 62 94080 4 1.60 1 0 0 1 0 0 0
3811 48 24 12 94707 4 1.00 1 89 0 0 0 0 0
3812 47 23 28 94061 4 0.60 1 0 0 0 0 1 0
3813 39 13 52 94720 1 2.00 1 0 0 0 0 0 1
3814 62 37 19 91343 3 1.30 2 97 0 0 0 1 0
3815 34 9 35 94304 3 1.30 1 0 0 0 0 0 0
3816 43 19 28 95053 4 0.30 1 96 0 0 0 1 0
3817 55 30 70 94904 3 2.00 2 0 0 0 0 1 1
3818 65 40 140 92093 1 0.90 1 0 0 0 0 0 0
3819 26 0 102 94305 4 2.30 3 0 0 0 0 0 0
3820 57 27 50 93950 4 2.00 3 0 0 0 0 1 0
3821 32 7 61 94102 3 2.30 1 205 0 0 0 1 1
3822 35 9 188 92220 2 3.70 2 259 1 0 0 1 0
3823 63 33 178 91768 4 9.00 3 0 1 0 0 0 0
3824 49 25 44 94708 4 0.90 2 194 0 0 0 1 0
3825 23 -1 12 95064 4 1.00 1 0 0 1 0 0 1
3826 30 6 69 94305 4 3.40 1 188 0 0 0 0 1
3827 43 19 132 90089 1 5.00 1 0 0 0 0 0 0
3828 39 14 128 93943 2 3.90 1 196 0 0 0 1 0
3829 31 6 44 95616 4 0.80 1 122 0 0 0 1 0
3830 65 39 44 92038 1 0.50 3 0 0 0 0 1 1
3831 34 8 34 92130 2 2.00 3 0 0 1 0 1 0
3832 37 12 132 90089 2 3.90 1 0 0 0 0 0 0
3833 62 38 158 90230 2 2.10 1 0 0 0 0 0 1
3834 33 9 83 93943 1 0.10 1 0 0 0 0 1 0
3835 48 22 28 94720 1 1.40 3 75 0 0 0 1 0
3836 33 9 131 90065 3 2.20 3 0 1 1 0 0 0
3837 45 19 31 95616 3 0.50 2 0 0 0 0 1 1
3838 44 19 40 92350 4 0.00 2 0 0 0 0 1 0
3839 37 11 71 94501 2 1.80 1 127 0 1 0 0 0
3840 31 5 42 93010 2 2.00 3 0 0 0 0 1 0
3841 56 31 35 95211 3 0.10 2 114 0 0 0 0 0
3842 30 4 81 94305 2 0.20 1 0 0 0 0 1 0
3843 61 35 91 95136 2 2.00 1 0 0 0 0 1 0
3844 32 7 129 94720 4 5.20 2 0 1 0 0 0 1
3845 51 27 75 95828 1 2.70 1 0 0 0 0 0 0
3846 26 1 54 94061 4 0.60 2 230 0 0 0 0 0
3847 31 5 43 94720 1 1.50 1 0 0 0 0 0 0
3848 43 18 94 94110 4 1.10 2 0 0 0 0 0 0
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3850 42 18 34 92653 1 2.00 2 0 0 1 0 0 0
3851 48 23 15 94061 4 0.80 1 0 0 0 0 1 0
3852 46 21 99 90277 2 3.80 3 194 0 0 0 1 0
3853 33 7 15 92152 1 0.40 2 82 0 1 1 1 1
3854 45 21 83 94105 4 2.00 3 0 0 0 0 1 0
3855 31 6 83 94720 4 1.80 3 0 0 0 0 1 0
3856 42 18 143 95630 1 1.70 1 0 0 1 0 1 0
3857 56 30 81 90401 4 2.60 3 0 0 0 0 1 0
3858 63 39 39 91711 1 1.90 2 0 0 0 0 0 0
3859 42 18 158 92124 2 0.40 2 277 1 0 0 0 1
3860 50 24 62 90245 1 1.40 3 0 0 0 0 0 0
3861 31 6 64 92121 2 0.10 1 0 0 0 0 1 1
3862 65 40 29 90025 1 1.50 2 0 0 0 0 0 0
3863 60 34 64 94104 3 2.50 1 0 0 0 0 1 0
3864 34 10 21 91770 4 0.70 2 0 0 0 0 1 0
3865 62 32 142 95112 2 2.80 3 0 1 0 0 0 1
3866 56 30 64 93105 3 2.50 1 0 0 0 0 0 0
3867 51 25 40 91401 4 1.80 1 0 0 1 0 0 1
3868 44 19 61 94080 3 2.70 2 0 0 0 0 0 0
3869 41 16 44 92037 1 0.30 3 0 0 0 0 0 0
3870 43 16 78 95670 3 2.67 2 161 0 0 0 1 1
3871 25 0 25 94596 2 0.90 3 0 0 0 0 0 0
3872 40 16 125 91304 2 1.90 1 0 0 0 0 0 1
3873 53 29 63 94720 2 1.00 3 0 0 0 0 1 0
3874 54 30 54 94550 1 1.60 3 185 0 0 0 1 0
3875 36 12 92 94709 2 0.00 1 184 0 0 0 0 0
3876 26 2 119 95351 2 0.60 1 381 0 0 0 1 1
3877 35 11 40 91784 1 2.40 2 0 0 0 0 1 0
3878 29 4 41 93105 1 1.00 1 0 0 0 0 0 0
3879 35 11 81 92064 2 0.00 1 0 0 0 0 1 1
3880 28 4 101 95136 3 2.50 1 270 0 0 0 0 0
3881 48 24 25 90024 4 0.50 2 0 0 0 0 0 0
3882 46 20 55 91016 1 1.50 2 0 0 1 0 0 0
3883 31 7 43 92646 1 2.10 3 166 0 0 0 0 1
3884 40 16 98 94534 2 1.80 2 98 0 0 0 1 0
3885 27 1 112 91330 4 2.30 3 402 0 0 0 1 1
3886 32 2 69 93943 4 4.00 3 102 0 0 0 1 0
3887 67 43 79 95616 4 1.70 2 215 0 0 1 1 1
3888 24 -2 118 92634 2 7.20 1 0 0 1 0 1 0
3889 45 18 81 95133 3 2.67 2 251 0 0 0 1 1
3890 26 0 19 93014 1 0.10 2 121 0 0 0 1 0
3891 42 17 139 91101 2 2.90 3 0 1 0 0 1 0
3892 65 40 63 94701 3 0.50 2 0 0 0 0 1 0
3893 59 33 102 91763 2 1.40 1 0 0 0 0 1 0
3894 30 5 40 92521 4 1.70 2 0 0 0 0 1 0
3895 32 6 44 92886 1 0.30 1 81 0 0 0 1 1
3896 36 12 59 94104 3 2.00 1 216 0 0 0 0 0
3897 48 24 224 93940 2 6.67 1 0 0 0 1 1 1
3898 56 31 64 90245 2 2.30 3 0 0 0 0 0 0
3899 44 20 129 96001 2 3.30 1 0 0 0 0 1 0
3900 60 34 43 92697 1 1.40 1 0 0 0 0 1 1
3901 51 27 12 92834 3 0.40 1 0 0 1 1 1 1
3902 34 10 53 94107 3 2.60 2 0 0 0 0 1 0
3903 45 21 39 93305 2 2.10 3 0 0 0 0 0 1
3904 47 23 65 93943 1 0.00 1 0 0 0 0 0 0
3905 29 5 18 94122 1 0.40 3 94 0 0 0 1 1
3906 52 28 55 94596 1 1.60 3 0 0 0 0 0 0
3907 61 35 60 90245 1 2.50 3 0 0 0 0 1 0
3908 40 14 42 91330 2 0.30 1 187 0 0 0 1 0
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3910 33 7 111 90245 2 1.30 1 0 0 0 0 1 0
3911 33 8 62 94596 1 1.00 1 0 0 0 0 1 0
3912 52 26 44 94025 2 0.80 3 148 0 0 0 0 1
3913 40 14 69 95348 1 1.50 3 0 0 0 0 0 0
3914 45 20 62 92064 3 0.80 3 172 0 0 0 1 0
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3916 38 13 91 92037 1 2.80 1 0 0 0 0 1 1
3917 50 26 12 92121 1 0.20 1 96 0 0 0 0 0
3918 41 15 89 94608 3 0.10 1 292 0 0 0 1 0
3919 60 34 65 90024 4 1.70 2 0 0 1 0 1 0
3920 64 34 179 90024 2 4.50 3 400 1 0 0 0 0
3921 34 8 82 93106 2 1.50 3 0 0 1 1 1 1
3922 30 6 48 95812 1 1.20 1 0 0 0 0 1 0
3923 31 4 20 95616 4 1.50 2 0 0 0 0 1 0
3924 41 15 91 90502 1 2.80 3 330 0 1 0 1 0
3925 61 37 122 94609 2 6.00 1 0 0 0 0 1 0
3926 42 18 22 90717 1 1.40 3 0 0 0 0 1 0
3927 48 23 43 94301 2 1.30 1 0 0 0 0 1 0
3928 59 34 38 90291 4 1.70 1 0 0 0 0 0 1
3929 57 33 61 92115 3 2.67 1 0 0 0 0 1 0
3930 37 13 33 91773 4 0.40 2 0 0 0 0 0 0
3931 53 27 145 95605 1 2.90 1 345 0 0 0 0 0
3932 53 27 170 95003 1 1.00 1 0 0 0 0 1 0
3933 26 2 55 94305 3 0.70 2 0 0 0 0 1 0
3934 39 14 40 91302 1 2.50 3 0 0 0 0 1 0
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3936 59 33 53 90034 3 2.50 1 0 0 0 0 1 0
3937 43 18 63 95616 3 0.80 3 0 0 1 0 0 0
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3939 49 24 13 95929 2 0.00 1 0 0 0 0 1 0
3940 47 23 12 92110 4 0.20 1 102 0 0 0 0 1
3941 41 17 53 93727 2 2.50 1 102 0 0 0 1 0
3942 57 33 79 94588 1 2.70 2 294 0 0 0 1 1
3943 42 17 89 90095 1 0.10 2 170 0 0 0 1 0
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3945 56 26 62 91320 3 1.40 3 0 0 0 0 1 0
3946 29 3 123 92821 3 5.60 3 428 1 0 0 1 0
3947 25 -1 40 93117 3 2.40 2 0 0 0 0 1 0
3948 32 8 119 94710 4 5.00 3 0 1 0 0 1 0
3949 37 12 123 94304 4 3.10 2 253 1 0 1 1 1
3950 31 5 23 93407 1 0.40 2 0 0 0 0 1 1
3951 38 14 62 94143 1 1.50 3 255 0 0 0 1 0
3952 40 14 69 92870 3 2.10 1 106 0 0 0 1 0
3953 61 36 124 94611 2 3.90 1 0 0 1 0 0 1
3954 50 26 52 93555 4 0.10 3 0 0 0 0 0 0
3955 32 7 134 93108 2 3.10 1 0 0 0 0 0 0
3956 62 36 58 94501 1 0.80 2 0 0 0 0 0 0
3957 62 37 45 90033 3 0.50 2 200 0 0 0 1 1
3958 40 15 75 95449 4 1.10 2 0 0 0 0 1 0
3959 59 34 23 90009 4 0.40 2 78 0 0 0 0 0
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3961 62 37 48 92028 3 2.20 1 0 0 0 0 0 0
3962 48 22 145 95482 1 0.30 1 140 0 0 0 1 0
3963 29 5 31 93014 1 1.00 3 0 0 0 0 0 0
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3967 33 7 84 95051 1 2.90 3 0 0 0 0 1 0
3968 40 15 22 94306 1 0.60 3 0 0 0 0 1 0
3969 28 3 78 93108 4 0.20 1 0 0 0 0 1 1
3970 38 11 75 94305 3 2.33 2 0 0 0 0 1 0
3971 65 40 71 95060 3 2.20 1 0 0 0 0 0 1
3972 35 11 24 95616 1 0.50 3 0 0 0 0 1 1
3973 29 5 112 94998 2 4.33 1 0 0 0 0 1 1
3974 61 35 53 90064 1 2.80 2 167 0 0 0 1 0
3975 46 21 41 94305 1 0.50 3 0 0 0 0 0 0
3976 50 23 25 91330 1 0.50 2 0 0 0 0 1 0
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3980 38 14 90 93010 2 0.00 1 258 0 1 1 1 1
3981 46 22 89 92866 4 1.40 2 0 0 0 0 1 0
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3983 24 0 119 94566 1 1.50 1 0 0 0 0 1 0
3984 39 13 93 93555 4 3.60 3 0 1 0 0 1 0
3985 34 8 18 95741 4 0.30 1 0 0 0 0 0 0
3986 65 40 32 90095 1 1.10 3 120 0 0 0 1 0
3987 38 14 182 92152 3 2.60 3 0 1 0 1 1 1
3988 62 36 19 95833 2 0.20 3 0 0 0 0 1 1
3989 59 35 85 91330 1 3.40 3 0 1 0 1 0 1
3990 49 25 90 92709 4 1.40 2 0 0 1 0 1 0
3991 57 32 59 95014 2 3.70 1 134 0 0 0 1 0
3992 64 38 84 94571 1 2.00 1 0 0 0 0 0 0
3993 47 22 95 93311 2 3.90 2 0 1 0 0 0 0
3994 30 6 13 93555 3 0.90 3 0 0 0 0 1 0
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3996 53 28 34 92697 2 0.60 3 0 0 0 0 1 1
3997 50 24 11 94501 4 0.60 3 0 0 0 0 0 1
3998 62 38 80 94545 4 1.70 2 0 0 0 0 0 0
3999 34 10 41 94102 1 1.33 1 0 0 0 0 0 1
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4008 31 7 35 91745 2 1.00 2 0 0 0 0 0 1
4009 61 31 154 94555 3 7.50 3 351 1 0 1 1 1
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4011 44 19 40 94618 4 1.90 3 84 0 0 0 0 0
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4016 25 -1 139 93106 2 2.00 1 0 0 0 0 0 1
4017 53 28 173 91614 4 2.70 1 427 1 0 0 1 0
4018 26 0 42 92009 4 1.30 3 153 0 0 0 1 0
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4021 58 32 191 93943 4 5.20 3 194 1 0 0 0 1
4022 40 14 42 90638 2 0.30 1 106 0 0 0 0 1
4023 35 5 81 94234 4 4.00 3 0 0 0 0 1 0
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4028 46 21 42 93727 4 1.90 3 0 0 0 0 1 0
4029 46 20 64 94117 4 2.90 1 189 0 0 0 0 0
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4031 58 32 44 92354 1 0.80 2 0 0 0 0 0 0
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4034 54 24 69 93117 3 1.40 3 132 0 0 0 1 0
4035 35 11 82 94022 2 1.70 2 0 0 0 0 1 1
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4037 46 21 13 93117 2 0.70 3 0 0 0 0 1 0
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4041 57 32 44 90266 2 1.90 2 157 0 0 0 0 0
4042 45 19 40 95060 1 0.20 1 0 0 1 1 1 1
4043 29 3 190 92612 2 4.50 1 246 0 0 0 1 1
4044 49 23 64 94588 4 2.60 1 0 0 0 0 1 1
4045 36 11 9 90266 2 0.30 2 99 0 1 0 0 0
4046 57 31 38 94720 4 0.70 2 0 0 0 0 1 0
4047 25 0 72 94303 3 2.60 3 0 0 0 0 1 0
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4053 43 19 54 94608 2 1.70 1 0 0 0 0 1 0
4054 35 11 90 94720 2 0.00 1 0 0 0 0 0 0
4055 59 34 64 94116 4 1.70 1 0 0 0 0 0 0
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4058 57 32 38 90740 2 2.10 3 0 0 0 0 0 0
4059 39 15 65 92037 1 1.50 3 0 0 0 0 0 0
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4062 33 3 59 91040 2 1.75 3 0 0 0 0 1 0
4063 38 14 43 95053 2 1.70 1 0 0 0 0 1 0
4064 47 21 24 94108 2 0.10 3 0 0 0 0 0 1
4065 63 39 50 94402 1 0.00 2 166 0 0 0 0 0
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4068 52 28 21 94025 4 0.50 2 0 0 0 0 1 0
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4071 58 33 70 94720 4 0.70 1 0 0 1 0 0 0
4072 30 6 25 94304 3 1.00 2 135 0 0 0 0 1
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4088 52 28 179 94583 4 4.20 3 0 1 0 0 0 0
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4090 30 4 85 94234 4 2.10 3 0 0 0 0 1 0
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4092 32 6 122 94025 2 1.30 1 0 0 0 0 1 1
4093 40 15 171 94539 2 3.30 1 0 0 0 0 1 0
4094 49 24 138 93111 2 2.20 2 0 1 0 0 1 0
4095 53 23 8 95616 4 0.40 3 0 0 1 0 1 0
4096 42 17 59 94105 4 0.40 1 0 0 0 0 1 0
4097 38 14 49 90740 3 2.80 1 0 0 0 0 0 0
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4101 27 2 41 90254 2 1.70 2 0 0 0 0 1 0
4102 45 21 40 93460 3 0.60 2 0 0 0 0 1 1
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4105 38 14 25 95616 4 1.00 1 0 0 0 0 0 0
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4110 27 0 30 93107 4 1.00 3 0 0 0 0 1 1
4111 66 41 59 95617 3 2.40 1 0 0 0 0 0 0
4112 43 17 21 95351 3 1.50 1 0 0 0 0 0 0
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4114 28 2 41 93118 3 1.10 2 161 0 0 0 1 0
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4116 45 20 84 94131 4 1.10 2 180 0 0 0 1 0
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4118 39 14 18 92037 4 0.20 3 0 0 1 0 0 0
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4120 30 5 85 92624 4 1.80 3 0 0 0 0 1 0
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4124 50 24 40 93460 4 2.60 1 89 0 0 0 1 0
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4126 60 34 95 94104 2 0.70 2 322 0 0 0 1 1
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4129 46 21 53 93555 4 1.90 3 0 0 0 0 0 0
4130 29 3 10 91320 4 0.40 1 87 0 0 0 1 1
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4132 48 23 23 94534 4 0.40 2 122 0 0 0 0 0
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4134 41 17 129 94720 1 3.40 1 0 0 0 0 0 1
4135 35 11 85 92154 4 0.10 2 131 0 0 0 0 0
4136 48 23 168 95929 2 2.80 1 308 0 0 0 1 0
4137 43 19 83 92691 4 2.00 3 0 0 0 0 1 0
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4146 58 34 63 94305 4 1.60 2 0 0 0 0 0 0
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4174 35 9 43 93943 2 0.30 1 0 0 0 0 1 0
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4182 47 22 22 90024 1 0.40 3 0 0 0 0 1 0
4183 55 29 49 92691 2 0.80 3 220 0 0 0 0 1
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4188 30 5 109 94305 4 2.20 2 103 0 0 0 0 1
4189 30 4 45 90041 4 1.30 3 0 0 0 0 0 0
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4192 42 15 39 91711 3 1.00 2 132 0 0 0 0 0
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4194 62 37 31 95008 3 0.20 1 0 0 0 0 1 0
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4197 49 25 13 95814 1 0.90 3 0 0 0 0 1 0
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4200 43 19 81 90630 4 0.20 3 0 0 0 0 0 1
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4203 35 9 82 95064 3 0.90 2 0 0 0 0 1 0
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4207 48 23 29 93711 1 1.30 2 0 0 0 0 0 0
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4209 56 32 58 95064 1 1.80 3 241 0 0 0 1 0
4210 35 9 21 91125 2 1.40 3 125 0 0 0 1 0
4211 35 8 43 95819 2 1.67 2 0 0 0 0 0 0
4212 40 16 104 94301 2 1.80 2 0 0 0 0 0 0
4213 50 23 9 94109 1 0.50 2 98 0 0 0 1 0
4214 49 25 39 91125 3 1.90 2 0 0 0 0 0 0
4215 46 22 89 94303 1 2.70 1 0 0 1 1 1 1
4216 64 40 21 94028 2 0.30 3 0 0 0 0 0 0
4217 60 35 173 90059 3 3.10 3 0 1 0 0 1 0
4218 45 21 29 95051 1 0.30 3 105 0 0 0 1 1
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4220 58 34 30 90066 3 0.40 2 0 0 0 0 0 0
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4228 32 7 111 90277 1 3.80 1 0 0 1 0 0 0
4229 34 10 83 95060 2 2.00 2 148 0 0 0 0 0
4230 54 24 83 94596 1 3.00 3 0 0 0 0 0 0
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4232 56 32 60 93106 1 1.80 3 227 0 0 0 1 0
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4266 27 2 44 93943 4 0.60 2 0 0 1 1 1 0
4267 42 16 11 94015 1 0.20 1 87 0 0 0 0 1
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4270 47 23 12 92518 4 0.50 2 0 0 0 0 0 0
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4278 40 16 138 92612 1 3.50 1 0 0 0 0 1 0
4279 56 31 51 92028 3 1.70 1 0 0 0 0 1 1
4280 39 15 80 94608 2 1.80 2 86 0 0 0 1 1
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4287 53 29 20 93955 1 0.20 1 131 0 0 0 1 1
4288 54 28 42 95207 4 2.50 1 0 0 0 0 1 1
4289 42 17 28 94010 1 0.60 3 0 0 0 0 0 1
4290 54 28 95 90254 1 1.90 2 0 0 0 0 1 0
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4292 46 21 34 90034 1 0.10 1 124 0 0 0 1 0
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4298 33 9 73 92110 4 3.40 1 140 0 0 0 1 0
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4300 30 5 73 90065 1 2.60 2 133 0 0 0 1 0
4301 61 37 20 95973 2 0.30 3 0 0 0 0 1 0
4302 49 24 130 92677 4 1.10 1 281 1 0 1 1 0
4303 52 27 85 92037 3 3.40 3 0 1 0 0 0 0
4304 45 21 134 94550 2 3.30 1 0 0 0 0 1 1
4305 64 39 98 95678 3 1.80 2 80 0 0 0 1 0
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4307 35 11 41 92123 3 2.00 1 0 0 0 0 1 0
4308 45 19 128 94928 4 6.00 3 0 1 0 0 1 0
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4310 34 8 188 94025 1 2.90 3 0 1 0 0 1 0
4311 65 41 170 94143 4 6.10 2 0 1 0 1 1 1
4312 32 8 14 90034 3 0.90 3 111 0 0 0 0 0
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4314 52 28 79 94596 1 2.70 2 0 0 0 0 1 1
4315 35 9 79 94305 4 2.20 2 0 0 0 0 0 0
4316 51 26 62 90024 4 1.80 3 119 0 0 0 1 0
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4320 63 38 85 91320 4 0.10 2 0 0 0 0 0 1
4321 40 15 143 94801 1 4.10 1 0 0 0 0 1 0
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4325 49 24 13 94538 4 0.80 1 111 0 0 0 1 0
4326 59 35 52 95616 4 1.50 1 0 0 0 0 1 1
4327 32 8 42 95136 1 0.20 3 102 0 0 0 1 0
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4330 59 33 10 94063 4 0.70 3 0 0 0 0 1 0
4331 62 37 44 90401 1 1.10 3 0 0 0 0 0 0
4332 61 37 158 94720 2 6.00 1 306 0 1 1 1 1
4333 53 26 12 92672 2 1.00 2 0 0 0 0 0 1
4334 51 26 59 90095 1 1.20 1 139 0 0 0 1 0
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4340 35 11 38 95518 1 1.70 1 0 0 0 0 0 1
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4345 53 28 181 95051 1 8.10 1 0 0 0 0 1 0
4346 26 1 184 94608 2 4.20 3 577 1 0 1 1 1
4347 45 21 33 94970 3 0.50 1 136 0 0 1 1 1
4348 58 33 22 90024 3 0.20 1 0 0 0 0 1 0
4349 59 33 99 92093 2 2.70 1 0 0 0 0 0 0
4350 45 18 44 90089 3 1.00 2 193 0 0 0 0 0
4351 64 39 101 95134 4 3.40 2 0 0 0 0 0 1
4352 30 3 32 94132 1 2.00 2 0 0 0 0 1 1
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4355 40 16 140 93940 3 5.60 1 0 1 0 0 0 0
4356 40 10 29 94720 1 0.75 3 0 0 0 0 1 0
4357 43 19 35 90630 1 0.70 1 0 0 0 0 0 0
4358 39 14 141 93302 4 6.30 1 0 1 1 1 1 1
4359 35 11 75 92672 4 2.00 3 79 0 0 0 0 0
4360 38 12 58 95054 2 2.80 1 0 0 0 0 1 0
4361 67 43 41 90024 2 1.10 1 0 0 0 0 0 0
4362 55 30 42 93940 2 2.00 2 196 0 0 0 0 1
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4364 30 4 18 93711 4 0.30 2 84 0 0 0 1 0
4365 59 35 75 92121 4 2.30 3 0 0 1 0 0 0
4366 26 2 85 95020 2 2.50 1 0 0 0 0 0 0
4367 52 28 43 90089 4 1.10 2 0 0 0 0 0 0
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4369 31 7 25 93943 2 1.00 2 0 0 1 1 1 1
4370 50 25 19 94005 4 0.40 2 103 0 0 0 1 1
4371 27 3 18 93524 1 0.40 3 0 0 0 0 0 0
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4376 34 10 51 90032 3 2.00 1 130 0 0 0 0 0
4377 40 15 71 93950 3 3.00 1 272 0 0 0 1 0
4378 33 8 145 92507 1 2.70 3 0 1 0 0 1 0
4379 38 12 45 91768 4 1.20 2 138 0 0 0 1 0
4380 42 17 53 93023 4 1.90 3 0 0 0 0 1 0
4381 37 13 64 94105 1 1.50 3 0 0 0 0 1 0
4382 33 8 39 94542 4 0.80 1 0 0 0 0 1 0
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4387 53 27 122 94305 1 2.40 1 330 0 0 0 0 0
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4389 47 21 123 90840 1 7.30 1 0 0 0 0 0 0
4390 58 32 40 90057 1 1.60 1 0 0 1 1 1 1
4391 52 26 62 95134 4 2.80 2 0 0 0 0 1 0
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4393 52 27 81 92634 4 3.80 2 0 0 0 0 0 0
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4397 30 5 14 95014 4 0.50 3 0 0 0 0 1 0
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4399 63 37 61 91942 1 2.50 3 0 0 0 0 0 0
4400 48 23 21 94904 1 0.10 1 0 0 0 0 0 0
4401 34 10 44 94143 1 1.33 1 0 0 0 0 1 0
4402 60 35 42 91902 3 1.50 1 0 0 0 0 0 1
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4406 61 35 83 91320 2 1.70 3 245 0 0 0 1 0
4407 50 25 24 95133 4 0.40 2 137 0 0 0 1 0
4408 37 13 71 90755 2 1.70 2 0 0 0 0 1 1
4409 64 40 181 93403 2 2.30 2 0 1 0 1 1 1
4410 43 19 75 91765 4 0.20 3 102 0 0 0 1 0
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4412 23 -2 75 90291 2 1.80 2 0 0 0 0 1 1
4413 34 10 19 91711 4 0.40 2 0 0 0 0 0 0
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4415 33 8 178 94720 3 8.50 1 0 1 1 1 1 0
4416 60 35 65 90245 2 1.50 1 220 0 0 0 0 1
4417 49 25 8 94720 1 0.30 1 97 0 0 0 0 0
4418 54 28 92 92374 2 1.10 1 0 0 0 0 1 0
4419 59 34 145 95125 4 1.80 1 198 1 0 0 1 0
4420 42 17 85 93065 1 3.70 3 272 0 0 0 0 0
4421 62 38 149 92130 1 4.70 1 0 0 0 0 1 0
4422 63 38 9 94707 4 0.60 2 100 0 0 0 1 1
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4424 61 36 40 95816 3 0.50 2 100 0 1 0 0 0
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4428 31 7 18 91711 1 0.40 3 0 0 0 0 0 0
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4430 55 29 140 94720 2 2.70 1 0 0 0 0 1 0
4431 38 12 24 94588 2 0.80 3 0 0 0 0 1 1
4432 38 12 60 92806 2 1.80 1 0 0 0 0 1 0
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4434 62 38 44 92612 1 1.90 2 0 0 0 0 0 1
4435 35 9 51 94596 4 2.20 2 110 0 0 0 1 0
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4440 33 7 104 94542 2 3.60 3 0 1 0 0 0 1
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4447 61 35 61 92177 3 2.20 3 117 0 0 0 1 1
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4449 59 34 40 94102 3 0.90 3 0 0 0 0 1 0
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4451 44 20 45 94111 2 2.50 1 0 0 0 0 1 0
4452 67 41 18 92130 2 0.40 1 0 0 0 0 1 0
4453 59 35 53 90035 4 2.30 3 174 0 0 0 1 0
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4456 56 31 28 94040 1 1.50 2 0 0 1 1 1 1
4457 29 3 35 94040 2 0.30 1 88 0 0 1 1 1
4458 55 29 81 92843 3 1.70 2 171 0 0 0 1 0
4459 48 22 90 94590 2 0.80 3 205 0 0 0 0 0
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4462 46 21 30 94301 4 1.90 3 0 0 0 0 1 0
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4464 39 13 69 94123 3 0.10 1 0 0 0 0 0 0
4465 60 35 29 93943 3 0.20 1 79 0 0 0 1 1
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4467 34 10 60 90071 3 2.80 1 0 0 0 1 1 1
4468 55 30 99 91768 1 0.10 3 0 0 0 0 0 0
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4470 40 14 53 94025 3 0.50 3 0 0 1 1 1 1
4471 44 20 111 91911 2 5.30 2 0 1 0 0 1 0
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4479 33 9 53 91380 1 2.10 3 0 0 0 0 0 0
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4486 35 9 50 92182 4 2.20 2 0 0 0 0 0 0
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4495 29 4 182 95354 1 3.70 3 0 1 0 0 1 0
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4499 51 26 133 90291 1 0.60 1 328 0 0 0 0 0
4500 53 26 22 91304 1 0.50 2 0 0 0 0 1 1
4501 50 26 24 94305 4 0.50 2 0 0 0 0 0 1
4502 59 33 38 94132 3 2.20 3 178 0 1 1 1 1
4503 57 32 80 92647 2 0.00 3 0 0 0 0 0 0
4504 45 21 33 92374 3 0.50 1 108 0 0 0 1 0
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4509 27 2 85 94117 1 1.90 1 0 0 0 0 1 1
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4516 29 3 49 94305 4 2.10 3 0 0 0 0 0 0
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4518 45 18 50 91902 3 2.50 2 0 0 0 0 1 0
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4524 29 4 50 94040 4 1.70 2 0 0 0 0 1 0
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4529 48 23 48 94086 1 0.30 1 0 0 0 0 0 0
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4565 58 32 28 90095 2 0.30 1 148 0 0 0 0 0
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4683 55 25 44 92093 3 1.00 3 0 0 0 0 1 0
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4751 66 41 38 95134 1 1.10 3 0 0 0 0 0 1
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4753 39 14 178 92123 1 4.10 1 207 0 0 0 1 0
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4757 30 4 78 92677 4 2.20 2 236 0 1 0 0 0
4758 26 2 135 94588 1 1.50 1 0 0 0 0 0 0
4759 46 21 40 90045 1 0.30 1 116 0 0 0 0 0
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4768 35 9 45 90639 3 0.90 1 101 0 1 0 0 0
4769 38 14 39 93118 1 2.00 2 0 0 0 0 1 0
4770 26 2 20 95064 4 1.00 1 116 0 0 0 0 0
4771 35 5 93 90095 4 1.80 3 0 0 0 0 0 1
4772 36 11 85 90502 3 1.20 3 0 0 0 0 1 0
4773 26 2 95 92130 3 0.80 1 0 0 0 0 1 0
4774 53 28 48 92029 2 1.90 2 0 0 0 0 1 0
4775 56 32 22 91768 1 1.20 3 0 0 0 0 1 1
4776 44 14 33 94063 1 0.75 3 171 0 0 0 0 0
4777 47 23 40 95123 2 2.10 3 156 0 0 0 1 0
4778 32 8 30 94534 4 0.40 2 78 0 0 0 1 0
4779 52 27 22 90755 4 0.80 1 0 0 0 0 1 1
4780 39 14 20 90747 1 0.60 3 0 0 0 0 1 0
4781 47 20 49 92104 3 2.50 2 0 0 0 0 1 0
4782 35 9 25 94526 3 0.10 2 0 0 1 0 1 0
4783 26 0 150 91311 2 7.20 1 0 0 0 0 0 1
4784 43 19 32 94720 4 0.30 1 0 0 0 0 0 0
4785 52 28 9 90405 2 0.20 1 0 0 0 0 0 0
4786 30 5 23 94304 2 0.90 3 0 0 1 0 1 0
4787 36 12 18 95521 4 1.00 1 0 0 0 0 1 1
4788 48 22 42 95054 3 0.60 2 121 0 0 0 1 0
4789 36 10 39 92009 1 2.00 1 153 0 0 0 0 0
4790 58 34 84 95120 4 1.60 2 0 0 0 0 1 0
4791 35 11 101 94143 3 3.80 3 150 1 0 0 1 0
4792 59 35 43 91791 4 0.40 1 0 0 0 0 0 1
4793 36 10 28 90840 4 1.00 1 130 0 0 0 1 0
4794 45 21 59 94703 2 2.50 1 155 0 0 0 1 0
4795 56 30 29 94110 4 1.50 3 146 0 0 0 0 0
4796 46 21 39 91710 2 1.30 1 101 0 0 0 1 0
4797 26 0 42 95032 4 1.30 3 0 0 1 0 0 0
4798 37 11 24 94115 4 1.00 1 0 0 0 0 0 0
4799 44 20 62 91604 3 0.30 3 0 0 0 0 0 1
4800 44 20 33 94306 4 0.30 1 142 0 0 0 0 1
4801 33 7 73 94028 1 2.50 1 135 0 0 0 0 0
4802 34 10 88 94404 2 0.00 1 121 0 0 0 1 0
4803 35 11 58 91330 3 2.80 1 0 0 0 0 1 0
4804 48 24 48 92064 2 2.10 3 0 0 0 0 1 0
4805 58 32 40 94124 1 2.80 2 0 0 0 0 0 0
4806 30 6 160 90630 1 4.30 1 249 0 0 0 1 0
4807 62 37 39 93117 3 1.50 1 0 0 0 0 1 0
4808 40 14 53 90064 1 2.00 1 0 0 0 0 1 1
4809 42 16 32 90033 3 0.50 2 0 0 0 0 0 1
4810 43 19 32 94501 3 0.60 2 0 0 0 0 0 0
4811 58 34 11 92037 2 0.30 1 96 0 0 0 1 0
4812 36 12 123 90502 2 3.00 3 0 1 0 0 0 0
4813 29 4 184 92126 4 2.20 3 612 1 0 0 1 0
4814 49 23 60 95023 3 0.70 2 142 0 0 0 1 1
4815 60 34 41 90064 3 2.20 3 0 0 0 0 0 1
4816 58 32 99 92697 2 1.40 1 0 0 0 0 0 1
4817 50 24 83 92333 3 3.00 2 0 0 0 0 0 1
4818 46 22 134 93305 2 3.30 1 0 0 0 0 0 0
4819 45 19 85 94112 2 1.70 2 0 0 0 0 1 0
4820 32 6 41 95833 3 0.90 1 179 0 0 0 0 0
4821 42 17 44 94124 1 0.30 3 0 0 1 1 1 1
4822 30 6 62 95831 1 0.10 1 0 0 0 0 1 1
4823 60 36 149 92007 1 4.70 1 0 0 0 0 1 0
4824 46 21 115 95616 2 4.20 3 0 1 1 1 1 1
4825 32 6 25 96001 3 1.00 1 0 0 0 0 1 0
4826 56 32 84 95014 2 1.60 1 0 0 0 0 1 0
4827 56 31 81 93943 2 0.00 3 225 0 0 0 0 0
4828 30 6 181 91203 1 4.30 1 230 0 0 0 1 0
4829 52 28 62 90089 1 1.80 3 0 0 0 0 1 0
4830 31 7 11 94304 1 0.50 3 80 0 0 0 1 1
4831 37 12 60 95616 4 2.10 3 217 0 0 0 1 0
4832 30 6 42 91711 1 2.10 3 144 0 0 0 0 1
4833 29 4 83 91950 4 2.20 2 0 0 0 0 1 1
4834 49 24 109 92647 1 0.60 1 0 0 0 0 0 0
4835 49 23 70 94305 1 0.30 1 217 0 0 0 0 0
4836 65 39 25 95370 2 0.40 1 113 0 0 0 1 0
4837 54 24 72 93943 3 1.40 3 218 0 0 0 0 1
4838 36 10 183 95348 2 0.00 1 0 0 0 0 0 0
4839 56 30 44 91330 4 2.50 1 0 0 0 0 0 1
4840 34 8 52 95060 4 0.20 1 0 0 0 0 1 0
4841 33 9 18 91768 4 0.40 2 0 0 0 0 1 0
4842 59 35 40 92870 4 0.40 1 135 0 0 0 1 0
4843 49 23 174 95449 3 4.60 2 590 1 0 0 0 0
4844 61 34 41 94123 4 2.50 2 0 0 0 0 1 0
4845 31 6 81 90840 2 2.50 1 313 0 0 0 0 0
4846 45 21 128 94305 1 4.70 1 0 0 0 0 0 0
4847 35 10 135 94596 3 4.80 2 0 1 0 0 1 0
4848 37 11 65 94143 2 2.40 2 260 0 0 0 1 0
4849 58 32 145 94920 2 0.50 1 119 0 0 0 1 0
4850 49 25 65 90007 2 1.00 3 0 0 0 0 1 1
4851 63 39 119 91330 1 2.90 1 0 0 1 0 1 0
4852 55 31 124 93407 2 0.30 1 0 0 0 0 1 0
4853 38 12 33 94708 4 1.50 3 0 0 1 0 0 1
4854 45 19 41 91109 1 0.20 1 0 0 0 0 1 0
4855 44 20 105 91730 1 4.70 1 0 0 0 0 0 1
4856 58 32 130 94720 2 2.70 1 0 0 0 0 1 0
4857 56 31 80 92069 4 1.30 3 0 0 0 0 1 0
4858 37 13 115 90025 1 0.80 2 0 0 0 0 1 1
4859 50 24 62 94550 2 0.80 3 0 0 0 0 1 0
4860 34 8 165 91107 1 7.00 3 541 1 0 0 0 0
4861 51 25 34 93106 3 0.60 2 128 0 0 0 1 0
4862 49 24 18 95616 1 0.40 3 121 0 0 0 1 0
4863 33 7 44 95605 1 0.30 1 0 0 0 0 0 0
4864 61 35 25 91768 1 0.80 2 142 0 0 0 1 0
4865 41 16 52 91311 2 2.20 3 0 0 0 0 1 0
4866 50 24 133 90025 4 1.40 2 342 1 0 0 0 1
4867 41 17 71 94801 2 3.20 1 0 0 0 0 1 1
4868 38 12 61 94598 4 0.20 3 0 0 0 0 1 0
4869 51 27 62 94063 2 3.20 3 118 0 0 0 0 1
4870 63 39 33 92121 3 0.10 3 0 0 0 0 0 1
4871 55 30 28 94040 2 2.00 2 0 0 0 0 1 1
4872 46 22 53 95616 4 1.90 1 187 0 0 0 0 0
4873 27 3 69 94305 3 0.70 2 0 0 0 0 1 1
4874 59 35 165 94309 2 6.00 1 0 0 0 0 1 0
4875 26 0 75 94061 3 0.30 3 0 0 0 0 0 0
4876 61 36 54 94539 3 1.50 1 0 0 0 0 1 0
4877 44 19 142 95054 1 1.50 3 0 1 0 0 0 0
4878 53 29 53 92648 4 0.10 3 0 0 0 0 0 0
4879 34 9 41 92093 1 1.00 1 0 0 0 0 1 0
4880 40 15 43 90095 4 1.70 1 98 0 0 0 0 0
4881 56 32 79 92037 3 2.67 1 0 0 0 0 1 0
4882 57 32 24 92346 2 0.20 3 140 0 0 0 1 0
4883 43 19 73 94301 3 2.33 1 0 0 1 1 1 1
4884 38 13 129 92646 3 4.10 3 0 1 0 1 1 1
4885 60 34 50 95670 3 2.20 3 0 0 0 0 1 1
4886 54 30 28 92103 2 0.80 1 0 0 0 0 1 0
4887 51 26 64 94005 4 1.80 3 0 0 0 0 0 0
4888 41 15 49 90245 3 0.90 3 0 0 0 1 1 1
4889 25 1 121 93106 1 5.40 1 158 0 0 0 1 0
4890 58 28 58 90073 3 2.00 3 0 0 0 0 1 0
4891 61 35 51 93555 3 1.40 3 0 0 0 0 1 0
4892 56 31 61 90024 4 0.90 1 0 0 1 1 1 1
4893 43 19 35 94112 1 0.30 3 120 0 1 0 1 0
4894 42 12 39 94704 3 2.00 3 0 0 1 1 1 1
4895 48 22 74 93950 1 1.40 3 0 0 1 0 0 0
4896 45 20 201 92120 2 2.80 1 0 0 0 0 1 1
4897 40 15 81 94304 2 0.40 1 0 0 0 0 1 0
4898 43 18 44 91345 1 2.40 1 0 0 0 0 0 0
4899 52 26 19 94143 1 1.40 3 96 0 0 0 1 0
4900 54 29 85 94928 4 1.30 3 299 0 0 0 1 0
4901 26 1 74 90028 4 2.20 1 0 0 0 0 1 0
4902 26 0 54 96094 3 1.10 2 0 0 0 0 1 0
4903 33 8 58 90505 2 2.50 1 0 0 0 0 1 0
4904 40 15 18 94534 2 0.10 2 119 0 0 0 1 1
4905 64 40 88 94305 1 3.80 1 243 0 0 0 1 1
4906 62 37 19 93109 3 0.50 1 89 0 0 0 0 0
4907 54 28 49 94608 1 2.20 3 128 0 0 0 0 0
4908 34 9 101 94080 3 0.60 2 0 0 0 0 0 0
4909 40 16 138 92121 2 6.10 1 0 0 0 0 1 0
4910 41 16 25 95014 2 0.10 2 0 0 0 0 0 1
4911 48 22 120 90291 1 0.00 1 0 0 0 0 1 0
4912 46 22 153 94539 2 7.50 1 0 0 0 0 0 0
4913 51 26 28 94061 1 1.30 2 94 0 1 0 1 0
4914 30 4 110 93943 1 2.90 3 0 0 0 0 1 0
4915 65 39 94 92374 1 2.00 1 0 0 0 0 0 1
4916 49 24 48 93117 1 1.30 2 0 0 0 0 0 1
4917 29 5 123 90291 2 0.60 1 0 0 0 0 1 0
4918 36 10 33 95616 4 1.20 2 82 0 1 0 1 0
4919 50 25 42 90232 2 0.70 2 110 0 0 0 0 1
4920 41 16 68 92122 3 3.00 1 0 0 0 0 1 1
4921 42 16 28 94002 4 1.50 3 91 0 0 0 1 1
4922 37 11 42 95814 3 0.50 3 0 0 0 0 1 1
4923 31 5 28 90717 1 0.30 1 0 0 0 0 1 1
4924 40 15 73 92029 3 3.00 1 0 0 0 0 1 1
4925 36 12 89 91304 2 2.70 1 0 0 0 0 0 0
4926 64 39 82 94025 4 3.40 2 0 0 0 0 1 0
4927 37 13 83 92220 2 1.70 2 0 0 0 0 0 1
4928 43 19 121 94720 1 0.70 2 0 1 0 1 1 1
4929 57 33 28 90245 1 1.20 3 98 0 0 0 1 0
4930 62 36 39 92028 2 0.30 1 0 0 0 0 1 0
4931 63 38 110 90095 3 1.80 2 109 0 0 0 1 0
4932 57 27 55 95616 1 1.40 3 0 0 0 0 1 0
4933 59 35 111 91107 1 4.30 1 0 0 0 0 1 0
4934 47 23 94 92029 1 4.70 1 0 0 0 0 1 1
4935 26 0 85 93950 2 1.60 3 0 0 0 0 1 1
4936 59 33 81 94022 2 1.40 1 0 0 0 0 1 0
4937 45 20 94 92009 3 0.50 3 0 0 0 0 0 0
4938 33 8 162 94960 1 8.60 1 0 0 0 1 1 1
4939 61 35 80 95973 4 1.70 3 0 0 0 0 1 0
4940 54 29 70 92093 3 2.00 2 116 0 0 0 1 1
4941 46 22 19 92870 3 0.50 1 0 0 0 0 1 0
4942 28 4 112 90049 2 1.60 2 0 1 0 0 1 0
4943 52 26 109 94710 1 2.40 1 308 0 0 1 1 1
4944 26 0 12 96003 1 0.10 2 0 0 0 0 1 0
4945 49 24 33 92093 3 1.70 2 0 0 0 0 1 0
4946 42 18 49 95351 2 1.70 1 106 0 0 0 0 1
4947 51 26 42 93118 1 1.30 2 0 0 0 0 1 0
4948 39 13 41 95064 2 0.30 1 108 0 0 0 1 1
4949 44 20 43 95032 1 0.70 1 0 0 0 0 0 1
4950 29 5 64 94114 4 0.00 1 249 0 0 0 0 1
4951 47 23 19 90089 1 1.00 1 0 0 0 0 0 1
4952 53 27 65 92124 1 2.20 3 0 0 0 0 1 1
4953 29 3 53 94005 4 1.80 3 0 0 0 0 1 0
4954 47 21 32 95051 3 1.50 1 75 0 0 0 1 0
4955 45 19 22 94904 3 1.50 1 0 0 0 0 1 1
4956 63 37 39 91207 2 0.70 3 0 0 0 0 1 1
4957 39 13 59 94109 4 0.20 3 0 0 1 0 0 1
4958 29 -1 50 95842 2 1.75 3 0 0 0 0 0 1
4959 50 26 19 90095 1 0.90 3 0 0 0 0 0 0
4960 51 27 55 93014 1 1.60 2 197 0 1 0 1 0
4961 58 28 81 91604 1 3.00 3 0 0 0 0 1 0
4962 39 14 108 91401 3 1.20 3 0 0 0 0 1 1
4963 46 20 122 90065 3 3.00 3 0 1 0 1 1 1
4964 32 6 98 95054 2 4.50 3 306 0 0 0 0 0
4965 53 27 110 90245 1 4.90 1 0 0 0 0 1 0
4966 29 5 33 94709 1 1.80 2 78 0 0 0 1 0
4967 41 17 34 91361 1 0.70 1 143 0 0 0 0 0
4968 41 16 69 92697 1 0.10 2 0 0 0 0 1 0
4969 58 32 41 93022 4 2.50 1 0 0 0 0 1 1
4970 45 19 60 94143 2 0.40 3 250 0 0 0 1 0
4971 37 13 95 95821 2 1.70 2 0 0 0 0 0 1
4972 58 28 73 90024 1 1.40 3 0 0 1 0 0 0
4973 58 32 41 93401 3 2.20 3 148 0 0 0 1 1
4974 31 1 68 95045 4 4.00 3 0 0 0 0 1 0
4975 59 33 64 92867 4 1.70 2 0 0 0 0 0 1
4976 38 11 29 95207 4 1.00 2 0 0 0 0 1 0
4977 29 5 31 95039 1 1.80 2 0 0 0 0 1 1
4978 40 15 54 90266 3 0.80 3 0 0 0 0 1 0
4979 57 27 63 90210 4 2.00 3 0 0 0 0 1 0
4980 50 26 92 90740 1 2.60 2 213 0 0 0 0 1
4981 29 5 135 95762 3 5.30 1 0 1 0 1 1 1
4982 34 9 195 90266 2 3.00 1 122 0 0 0 1 0
4983 36 10 45 95126 4 0.20 1 0 0 0 0 0 1
4984 51 26 72 95370 1 2.90 1 0 0 0 0 0 0
4985 27 1 98 94043 4 2.30 3 0 0 0 0 0 1
4986 48 23 30 94720 3 1.70 2 162 0 0 0 1 0
4987 32 6 78 95825 1 2.90 3 0 0 0 0 0 0
4988 48 23 43 93943 3 1.70 2 159 0 0 0 1 0
4989 34 8 85 95134 1 2.50 1 136 0 0 0 0 1
4990 24 0 38 93555 1 1.00 3 0 0 0 0 1 0
4991 55 25 58 95023 4 2.00 3 219 0 0 0 0 1
4992 51 25 92 91330 1 1.90 2 100 0 0 0 0 1
4993 30 5 13 90037 4 0.50 3 0 0 0 0 0 0
4994 45 21 218 91801 2 6.67 1 0 0 0 0 1 0
4995 64 40 75 94588 3 2.00 3 0 0 0 0 1 0
4996 29 3 40 92697 1 1.90 3 0 0 0 0 1 0
4997 30 4 15 92037 4 0.40 1 85 0 0 0 1 0
4998 63 39 24 93023 2 0.30 3 0 0 0 0 0 0
4999 65 40 49 90034 3 0.50 2 0 0 0 0 1 0
5000 28 4 83 92612 3 0.80 1 0 0 0 0 1 1

Attachment 2

Description

Source: Data courtesy of Dean Wichern.
Income: Annual income in $000
Lot Size: In thousands of sq. feet
Ownership: Whether the resident owns a riding mower or not
(c) 2016 Galit Shmueli and Peter Bruce

Data

Income
G Shmueli: Annual income in $000
Lot_Size
G Shmueli: 000's sqft
Ownership
60 18.4 Owner
85.5 16.8 Owner
64.8 21.6 Owner
61.5 20.8 Owner
87 23.6 Owner
110.1 19.2 Owner
108 17.6 Owner
82.8 22.4 Owner
69 20 Owner
93 20.8 Owner
51 22 Owner
81 20 Owner
75 19.6 Nonowner
52.8 20.8 Nonowner
64.8 17.2 Nonowner
43.2 20.4 Nonowner
84 17.6 Nonowner
49.2 17.6 Nonowner
59.4 16 Nonowner
66 18.4 Nonowner
47.4 16.4 Nonowner
33 18.8 Nonowner
51 14 Nonowner
63 14.8 Nonowner

Attachment 3

{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Chapter 7: k-Nearest Neighbors (kNN)\n", "\n", "> (c) 2019 Galit Shmueli, Peter C. Bruce, Peter Gedeck \n", ">\n", "> Code included in\n", ">\n", "> _Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python_ (First Edition) \n", "> Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel. 2019.\n", "\n", "# CIS 4321\n", "# Dr. Mohammad Salehan\n", "\n", "## Import required packages" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "from pathlib import Path\n", "\n", "import pandas as pd\n", "from sklearn import preprocessing\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import accuracy_score\n", "from sklearn.neighbors import NearestNeighbors, KNeighborsClassifier\n", "import matplotlib.pylab as plt\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "mower_df = pd.read_excel('RidingMowers.xlsx', 'Data')\n", "#add a row number = row index + 1\n", "mower_df['Number'] = mower_df.index + 1\n", "mower_df.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "mower_df.head(24)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data partitioning" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "trainData, validData = train_test_split(mower_df, test_size=0.4, random_state=26)\n", "print(trainData.shape, validData.shape)\n", "\n", "#Make up an artificial record named newHouseHold to resemble future cases\n", "newHousehold = pd.DataFrame([{'Income': 60, 'Lot_Size': 20}])\n", "newHousehold" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Scatter plot of training data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fig, ax = plt.subplots()\n", "\n", "subset = trainData.loc[trainData['Ownership']=='Owner']\n", "ax.scatter(subset.Income, subset.Lot_Size, marker='o', label='Owner', color='C1')\n", "\n", "subset = trainData.loc[trainData['Ownership']=='Nonowner']\n", "ax.scatter(subset.Income, subset.Lot_Size, marker='D', label='Nonowner', color='C0')\n", "\n", "ax.scatter(newHousehold.Income, newHousehold.Lot_Size, marker='*', label='New household', color='black', s=150)\n", "\n", "plt.xlabel('Income') # set x-axis label\n", "plt.ylabel('Lot_Size') # set y-axis label\n", "for _, row in trainData.iterrows():\n", " ax.annotate(row.Number, (row.Income + 2, row.Lot_Size))\n", " \n", "handles, labels = ax.get_legend_handles_labels()\n", "ax.set_xlim(40, 115)\n", "ax.legend(handles, labels, loc=4)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Scatter plot of all data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def plotDataset(ax, data, showLabel=True, **kwargs):\n", " subset = data.loc[data['Ownership']=='Owner']\n", " ax.scatter(subset.Income, subset.Lot_Size, marker='o', label='Owner' if showLabel else None, color='C1', **kwargs)\n", "\n", " subset = data.loc[data['Ownership']=='Nonowner']\n", " ax.scatter(subset.Income, subset.Lot_Size, marker='D', label='Nonowner' if showLabel else None, color='C0', **kwargs)\n", "\n", " plt.xlabel('Income') # set x-axis label\n", " plt.ylabel('Lot_Size') # set y-axis label\n", " for _, row in data.iterrows():\n", " ax.annotate(row.Number, (row.Income + 2, row.Lot_Size))\n", "\n", "fig, ax = plt.subplots()\n", "\n", "plotDataset(ax, trainData)\n", "plotDataset(ax, validData, showLabel=False, facecolors='none')\n", "\n", "ax.scatter(newHousehold.Income, newHousehold.Lot_Size, marker='*', label='New household', color='black', s=150)\n", "\n", "plt.xlabel('Income') # set x-axis label\n", "plt.ylabel('Lot_Size') # set y-axis label\n", " \n", "handles, labels = ax.get_legend_handles_labels()\n", "ax.set_xlim(40, 115)\n", "ax.legend(handles, labels, loc=4)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preprocessing\n", "Initialize normalized training, validation, and complete data frames. Use the training data to learn the transformation.<br>\n", "There are no categorical variables so there is no need to create dummies." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "scaler = preprocessing.StandardScaler()\n", "scaler.fit(trainData[['Income', 'Lot_Size']]) # Note the use of an array of column names\n", "\n", "# Transform the full dataset\n", "mowerNorm = pd.concat([pd.DataFrame(scaler.transform(mower_df[['Income', 'Lot_Size']]), \n", " columns=['zIncome', 'zLot_Size']),\n", " mower_df[['Ownership', 'Number']]], axis=1)\n", "\n", "#Then repartition into train and test using row indexs\n", "trainNorm = mowerNorm.iloc[trainData.index]\n", "validNorm = mowerNorm.iloc[validData.index]\n", "\n", "#Transform newHouseHold record\n", "newHouseholdNorm = pd.DataFrame(scaler.transform(newHousehold), columns=['zIncome', 'zLot_Size'])\n", "trainNorm.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## NearestNeighbors\n", "sklearn.neighbors.NearestNeighbors class can find nearest neighbors of a record. It does not conduct classification so it is an usupervised learner." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#create an instance of knn\n", "knn = NearestNeighbors(n_neighbors=3)\n", "#fit to training set independent variables\n", "knn.fit(trainNorm[['zIncome', 'zLot_Size']])\n", "#find 3 nearest neighbors for newHouseholdNorm\n", "distances, indices = knn.kneighbors(newHouseholdNorm)\n", "print(trainNorm.iloc[indices[0], :]) # indices is a list of lists, we are only interested in the first element" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## KNeighborsClassifier\n", "Initialize a data frame with two columns: `k` and `accuracy`" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "train_X = trainNorm[['zIncome', 'zLot_Size']]\n", "train_y = trainNorm['Ownership']\n", "valid_X = validNorm[['zIncome', 'zLot_Size']]\n", "valid_y = validNorm['Ownership']\n", "\n", "# Train a classifier for different values of k (1-14)\n", "results = []\n", "for k in range(1, 15):\n", " knn = KNeighborsClassifier(n_neighbors=k).fit(train_X, train_y)\n", " results.append({\n", " 'k': k,\n", " #test performance on validation set\n", " 'accuracy': accuracy_score(valid_y, knn.predict(valid_X))\n", " })\n", "\n", "# Convert results to a pandas data frame\n", "results = pd.DataFrame(results)\n", "print(results)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Retrain with full dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Retrain with full dataset\n", "mower_X = mowerNorm[['zIncome', 'zLot_Size']]\n", "mower_y = mowerNorm['Ownership']\n", "knn = KNeighborsClassifier(n_neighbors=4).fit(mower_X, mower_y)\n", "distances, indices = knn.kneighbors(newHouseholdNorm)\n", "#Predict ownership for newHouseholdNorm\n", "print(knn.predict(newHouseholdNorm))\n", "print('Distances',distances)\n", "print('Indices', indices)\n", "print(mowerNorm.iloc[indices[0], :])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### ROC Curve" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import roc_curve, auc\n", "\n", "#Train on training set\n", "knn = KNeighborsClassifier(n_neighbors=4).fit(train_X, train_y)\n", "\n", "#valid_y is in the form (Owner, Nonowner). We have to convert it to (1, 0)\n", "valid_y_binary = valid_y.apply(lambda x: 1 if x=='Owner' else 0)\n", "\n", "#get probability of belonging to each class\n", "y_scores = knn.predict_proba(valid_X)\n", "#get false positive rate and true positive rate values \n", "fpr, tpr, threshold = roc_curve(valid_y_binary, y_scores[:, 1])\n", "\n", "roc_auc = auc(fpr, tpr) # area under the curve\n", "plt.figure()\n", "lw = 2\n", "plt.plot(fpr, tpr, color='darkorange',\n", " lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", "plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--') #naive rule\n", "plt.xlim([0.0, 1.0])\n", "plt.ylim([0.0, 1.05])\n", "plt.xlabel('False Positive Rate')\n", "plt.ylabel('True Positive Rate')\n", "plt.title('Receiver operating characteristic (ROC) curve')\n", "plt.legend(loc=\"lower right\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }

Attachment 4

{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# CIS 4321\n", "# Dr. Mohammad Salehan\n", "## K-Nearest Neighbors Assignment\n", "In this assignment you will conduct KNN classification on a dataset. The data include customer demographic information (age, income, etc.), the customer’s relationship with the bank (mortgage, securities account, etc.), and the customer response to the last personal loan campaign (Personal Loan). Let's start by loading the dataset." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "from pathlib import Path\n", "\n", "import pandas as pd\n", "from sklearn import preprocessing\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import accuracy_score\n", "from sklearn.neighbors import NearestNeighbors, KNeighborsClassifier\n", "import matplotlib.pylab as plt" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(5000, 14)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_excel('UniversalBank.xlsx', 'Data')\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>ID</th>\n", " <th>Age</th>\n", " <th>Experience</th>\n", " <th>Income</th>\n", " <th>ZIP Code</th>\n", " <th>Family</th>\n", " <th>CCAvg</th>\n", " <th>Education</th>\n", " <th>Mortgage</th>\n", " <th>Personal Loan</th>\n", " <th>Securities Account</th>\n", " <th>CD Account</th>\n", " <th>Online</th>\n", " <th>CreditCard</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>1</td>\n", " <td>25</td>\n", " <td>1</td>\n", " <td>49</td>\n", " <td>91107</td>\n", " <td>4</td>\n", " <td>1.6</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>2</td>\n", " <td>45</td>\n", " <td>19</td>\n", " <td>34</td>\n", " <td>90089</td>\n", " <td>3</td>\n", " <td>1.5</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>3</td>\n", " <td>39</td>\n", " <td>15</td>\n", " <td>11</td>\n", " <td>94720</td>\n", " <td>1</td>\n", " <td>1.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>4</td>\n", " <td>35</td>\n", " <td>9</td>\n", " <td>100</td>\n", " <td>94112</td>\n", " <td>1</td>\n", " <td>2.7</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " ID Age Experience Income ZIP Code Family CCAvg Education Mortgage \\\n", "0 1 25 1 49 91107 4 1.6 1 0 \n", "1 2 45 19 34 90089 3 1.5 1 0 \n", "2 3 39 15 11 94720 1 1.0 1 0 \n", "3 4 35 9 100 94112 1 2.7 2 0 \n", "\n", " Personal Loan Securities Account CD Account Online CreditCard \n", "0 0 1 0 0 0 \n", "1 0 1 0 0 0 \n", "2 0 0 0 0 0 \n", "3 0 0 0 0 0 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's check out the proportion of the two classes in the column used as label (i.e., Personal Loan). There is no need to conduct oversampling or undersampling in this assignment." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 4520\n", "1 480\n", "Name: Personal Loan, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['Personal Loan'].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Select columns\n", "Exclude ID and ZIP Code columns." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "df1 = df[['Age','Experience','Income','Family','CCAvg','Education','Mortgage','Personal Loan','Securities Account','CD Account','Online','CreditCard']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Missing values\n", "Check missing values. Drop them if needed." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Age 0\n", "Experience 0\n", "Income 0\n", "Family 0\n", "CCAvg 0\n", "Education 0\n", "Mortgage 0\n", "Personal Loan 0\n", "Securities Account 0\n", "CD Account 0\n", "Online 0\n", "CreditCard 0\n", "dtype: int64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df1.isna().sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dummies\n", "Create dummies if any is needed." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Age</th>\n", " <th>Experience</th>\n", " <th>Income</th>\n", " <th>Family</th>\n", " <th>CCAvg</th>\n", " <th>Education</th>\n", " <th>Mortgage</th>\n", " <th>Personal Loan</th>\n", " <th>Securities Account</th>\n", " <th>CD Account</th>\n", " <th>Online</th>\n", " <th>CreditCard</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>25</td>\n", " <td>1</td>\n", " <td>49</td>\n", " <td>4</td>\n", " <td>1.6</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>45</td>\n", " <td>19</td>\n", " <td>34</td>\n", " <td>3</td>\n", " <td>1.5</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>39</td>\n", " <td>15</td>\n", " <td>11</td>\n", " <td>1</td>\n", " <td>1.0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>35</td>\n", " <td>9</td>\n", " <td>100</td>\n", " <td>1</td>\n", " <td>2.7</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>35</td>\n", " <td>8</td>\n", " <td>45</td>\n", " <td>4</td>\n", " <td>1.0</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " </tr>\n", " <tr>\n", " <th>...</th>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " <td>...</td>\n", " </tr>\n", " <tr>\n", " <th>4995</th>\n", " <td>29</td>\n", " <td>3</td>\n", " <td>40</td>\n", " <td>1</td>\n", " <td>1.9</td>\n", " <td>3</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>4996</th>\n", " <td>30</td>\n", " <td>4</td>\n", " <td>15</td>\n", " <td>4</td>\n", " <td>0.4</td>\n", " <td>1</td>\n", " <td>85</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>4997</th>\n", " <td>63</td>\n", " <td>39</td>\n", " <td>24</td>\n", " <td>2</td>\n", " <td>0.3</td>\n", " <td>3</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>4998</th>\n", " <td>65</td>\n", " <td>40</td>\n", " <td>49</td>\n", " <td>3</td>\n", " <td>0.5</td>\n", " <td>2</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>0</td>\n", " </tr>\n", " <tr>\n", " <th>4999</th>\n", " <td>28</td>\n", " <td>4</td>\n", " <td>83</td>\n", " <td>3</td>\n", " <td>0.8</td>\n", " <td>1</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>0</td>\n", " <td>1</td>\n", " <td>1</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "<p>5000 rows × 12 columns</p>\n", "</div>" ], "text/plain": [ " Age Experience Income Family CCAvg Education Mortgage \\\n", "0 25 1 49 4 1.6 1 0 \n", "1 45 19 34 3 1.5 1 0 \n", "2 39 15 11 1 1.0 1 0 \n", "3 35 9 100 1 2.7 2 0 \n", "4 35 8 45 4 1.0 2 0 \n", "... ... ... ... ... ... ... ... \n", "4995 29 3 40 1 1.9 3 0 \n", "4996 30 4 15 4 0.4 1 85 \n", "4997 63 39 24 2 0.3 3 0 \n", "4998 65 40 49 3 0.5 2 0 \n", "4999 28 4 83 3 0.8 1 0 \n", "\n", " Personal Loan Securities Account CD Account Online CreditCard \n", "0 0 1 0 0 0 \n", "1 0 1 0 0 0 \n", "2 0 0 0 0 0 \n", "3 0 0 0 0 0 \n", "4 0 0 0 0 1 \n", "... ... ... ... ... ... \n", "4995 0 0 0 1 0 \n", "4996 0 0 0 1 0 \n", "4997 0 0 0 0 0 \n", "4998 0 0 0 1 0 \n", "4999 0 0 0 1 1 \n", "\n", "[5000 rows x 12 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.get_dummies(df1, dummy_na=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Partitioning\n", "Partition the dataset into train and validation partitions. Use 40% for validation. There is no need to make up artificial records." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(3000, 12) (2000, 12)\n" ] } ], "source": [ "\n", "trainData, validData = train_test_split(df1, test_size=0.4, random_state=5000)\n", "print(trainData.shape, validData.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preprocessing\n", "Conduct all required preprocessing which includes (1) selecting features and (2) normalization. Use 'Personal Loan' as label and the rest of the columns as predictors.<br>\n", "At the end of this cell you should have 2 variables named trainNorm and validNorm representing train and validation partitions.\n", "<br>\n", "Tip: create a list of features and name it features. Use it when needed instead of copy-pasting column names each time." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## More partitioning\n", "create 4 variables train_X, train_y, valid_X, valid_y representing training features, training label, validation features, and validation label respectively." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Run KNN\n", "Ru KNN. Examine k values in range 1 and 15. Remeber that end index of range() function is excluded." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Select the best value for K\n", "Select the best value for K and write it below. Justify your selection." ] }, { "cell_type": "raw", "metadata": {}, "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 4 }